Industry: Banking
Leveraging Technology to Revolutionize Customer Onboarding in Banking
on-demand webinar
Leveraging Technology to Revolutionize Customer Onboarding in Banking
In today’s fast-paced and competitive financial landscape, both digital and traditional banks are continuously seeking innovative ways to enhance their customer onboarding process. Consumers today demand speed and ease in every online interaction. Providing a safe and low-friction experience throughout the entire client lifecycle—from onboarding to log-in to transactions—is crucial to building, growing, and retaining your customer base. This webinar delves into the transformative power of technology in reshaping the customer journey, equipping financial institutions to emerge as forward-thinking powerhouses.
Join us live on July 10th for your chance to gain the knowledge and tools needed to transform your customer onboarding process, drive growth, and stay competitive in the modern financial landscape.
- Leveraging technology to personalize customer interactions and tailor services to meet individual needs, enhance satisfaction, and improve loyalty.
- Discover strategies to enhance customer experiences while fortifying fraud and identity management across the client lifecycle.
- How to integrate intelligent systems into existing operations and navigate the challenges of legacy systems.
- How to better leverage enriched data and machine learning to gain more insights across the client lifecycle.
- The reasons why building dynamic workflows that incorporate identity, device, and behavioural data is essential to improving risk decisioning and, ultimately, creating a better customer experience
Embrace the future of banking with a customer onboarding process that sets you apart from the competition. Don’t miss this opportunity to learn from industry experts and network with peers who are also on the path to digital transformation.
LATEST WEBINARS
Elevating Customer Experiences: Headless Banking and Banking-as-a-Service (BaaS)
INFOGRAPHIC
ADDITIONAL RESOURCES
Ryt Bank, The World’s First AI-Powere...
Provenir Named a Strong Performer in ...
Forrester Wave 2025 PR
Navigating South Africa’s Debt Crisis...
Stop Fraudsters in Their Tracks – Bef...
Enabling Responsible Growth and Custo...
Rethinking Fraud Prevention in the Mi...
Beyond the Selfie: Why Digital ID&V I...
10 Companies Leading the BaaS and Headless Banking Revolution
BLOG
10 Companies Leading the BaaS and Headless Banking Revolution
Enhancing the Customer Experience with Innovative Banking Solutions
With customer experience a top priority for just about every industry across the globe (and if not, it should be!), there are some organizations that clearly come out on top. When it comes to providing banking/financial products and services, there are often distinct winners in terms of engaging customers and ensuring a streamlined, positive experience. And a lot of that comes down to innovative, cutting-edge technology. Two such models of innovation are headless banking (decoupling the front-end user interface from the back-end banking process for greater flexibility without altering underlying banking mechanism) and Banking-as-a-Service, otherwise known as BaaS (which enables non-financial companies/non-banks to offer banking/financial services by integrating with a bank’s existing regulated infrastructure through APIs).
We’re looking at 10 companies that are using these banking models to bring customer experience, flexibility, and efficiency to the forefront of financial services.
Column
Based in the U.S., Column is a nationally chartered headless bank built to enable developers to create new financial products, including card programs, bank accounts, lending services, and debt financing. With the notion of helping finance be both customer and internet first, the company is first and foremost a software company (with a banking license!) that enables its customers to build exactly what they need without relying on outdated, agility-limiting systems.
Solaris
With a BaaS platform that enables companies to build their own unique banking products, Solaris Bank, headquartered in Germany, empowers its customers to offer embedded financial services with ease. As Europe’s largest embedded finance platform and possessing a full banking license, the company features straightforward APIs that allow fully embedded digital banking services.
Griffin
UK-based Griffin is known as ‘the bank you can build on,’ with simple, quick, and cost-effective solutions that allow UK companies to develop and launch their own financial products. Combining the power of a licensed bank with the flexibility of modern SaaS technology, the company is built on secure, regulated banking infrastructure but also features modern APIs for the ability to seamlessly embed financial services into tech apps.
Pave Bank
One of Singapore’s tech success stories, Pave Bank is aiming to reimagine how banking is built. With regards to product design and build, they are firmly a tech company, and when it comes to risk and compliance, they are a fully regulated bank, blending the best of both worlds to ensure security and transparency combined with innovation and flexibility for safer, more integrated banking experiences.
Treezor
Billed as Europe’s BaaS leader, Paris-based Treezor offers a white-label solution that allows its customers to embed financial services directly into the client experience. With a wide range of available use cases (including gift cards, restaurant cards, neobanks, and employee benefits), the company enables creative banking with a modular, one-stop-shop solution, allowing customers to outsource payment needs to their tech experts.
ClearBank
Known as ‘the bank for banks,’ ClearBank doesn’t provide any services directly to consumers, but enables financial services providers, including fintechs and FCA-regulated companies, to build their own solutions and services that put customer experience and innovation at the forefront. Financial institutions use their cloud-based API to offer consumers fully regulated banking infrastructure, allowing FIs to focus on customer service instead.
Green Dot
Powering the next generation in Fintech, U.S.-based Green Dot offers an integrated bank, program management, and enterprise-grade APIs in one single platform. With major customers including Walmart and Uber, Green Dot provides end-to-end infrastructure for banking programs (including branded cards, payments, and payroll and tax services) that power growth and innovation.
BBVA
Far from a startup tech company, multinational banking group BBVA is now offering BaaS products via API, connecting to BBVA’s core digital banking program. Their API market enables innovation in digital transformation, in a variety of combinations of use cases and regions (including Mexico, Spain, and global versions focusing on accounts, payments, collections, loans, and more).
Mambu
Headquartered in Amsterdam but servicing customers across the globe, Mambu is a SaaS cloud-banking platform that enables its clients to build innovative banking experiences for their customers, quickly and flexibly. Featuring a composable approach to banking that overcomes some of the challenges of legacy banking systems, Mambu allows customers to build exactly what they need, using only the components required, and focusing strongly on the end-consumer experience.
10x
With the belief that tech can enable real transformation for the banking industry, 10x aims to build better banks that put the customer first. With a proprietary cloud-native core banking platform, 10x offers a transformational end-to-end approach that empowers financial institutions to become agile and competitive.
There are plenty more innovative companies focusing on headless banking and BaaS, enabling truly customer-centric embedded banking and financial services. We’re keeping our eyes on where the industry is going next, but it’s clear that any organizations that offer the capabilities for integrated, frictionless customer experiences, while improving operational efficiency and flexibility, and enabling business growth, are the ones that will come out on top.
Additionally, headless banking can significantly impact your cost efficiency. By utilizing APIs to connect disparate systems and services, you can reduce the need for an extensive overhaul of the backend every time the front-end technology evolves or customer expectations change. This modular approach reduces development and maintenance costs, but also strengthens security protocols, enabling potential security breaches to be isolated and managed more effectively, and minimizing overall risk.
When it comes to regulatory compliance, headless banking offers an adaptable framework that simplifies the integration of compliance measures into both existing and new products. This flexibility is crucial for global expansion, and embracing open banking standards, allowing you to easily customize and localize your offerings to meet specific regional regulatory requirements as well as cultural preferences. The opportunity to expand your global footprint while enhancing your service delivery will help to drive business growth and customer satisfaction.
For more info on how headless banking and BaaS are transforming the industry, read the blog.
Headless Banking and Banking-as-a-Service: Shaping the Future of Finance
BLOG
Headless Banking and Banking-as-a-Service: Shaping the Future of Finance
There are two transformative models currently reshaping how financial services are developed, delivered, and consumed across the globe – headless banking and Banking-as-a-Service (BaaS). From North America’s robust financial ecosystems to APAC’s innovation hubs, and EMEA’s regulatory frameworks to Latin America’s burgeoning fintech scene, understanding both of these models is crucial to navigating the scene effectively. Headless banking, where banks separate their front-end and back-end processes to enable greater flexibility and customization in customer interactions, contrasts with BaaS, where banks or licenced institutions offer their banking services to other (usually non-financial) businesses, allowing them to integrate financial services directly into their offerings. And when it comes to the risk decisioning software that supports both of these models, the challenges and opportunities that headless banking and BaaS provide can help to inform our approach to managing and mitigating risks – an approach that needs to innovate and evolve as rapidly as the regulations and new advancements that the industry offers.
Key Features and Benefits of Headless Banking
With headless banking, the traditional integration of front-end user interfaces and back-end banking processes is uncoupled. Taking digital, front-end experiences away from the core banking functions that happen in the background enables an unprecedented level of flexibility and customization, allowing financial institutions to easily (and quickly!) integrate new technologies and services, offering personalized experiences that are tailored to individual customer needs and preferences. This ensures maximum agility and helps to foster rapid innovation, allowing you to get ahead in a highly competitive market by more rapidly adapting to emerging trends and changing customer demands.
Additionally, headless banking can significantly impact your cost efficiency. By utilizing APIs to connect disparate systems and services, you can reduce the need for an extensive overhaul of the backend every time the front-end technology evolves or customer expectations change. This modular approach reduces development and maintenance costs, but also strengthens security protocols, enabling potential security breaches to be isolated and managed more effectively, and minimizing overall risk.
When it comes to regulatory compliance, headless banking offers an adaptable framework that simplifies the integration of compliance measures into both existing and new products. This flexibility is crucial for global expansion, and embracing open banking standards, allowing you to easily customize and localize your offerings to meet specific regional regulatory requirements as well as cultural preferences. The opportunity to expand your global footprint while enhancing your service delivery will help to drive business growth and customer satisfaction.
Key Benefits of Headless Banking
- Customer-Centric Approach
- Digital Integration
- Customization and Personalization
- Agility and Innovation
- Cost and Operational Efficiency
- Enhanced Security
- Regulatory Compliance and Open Banking
- Global Expansion and Localization
Banking via Non-Banks: Banking-as-a-Service (BaaS)
Banking-as-a-Service (BaaS) is a model that allows non-banking entities to offer financial services and products by leveraging the existing infrastructure of established financial institutions. While this approach has many benefits for the non-banks (and consumers) who wish to use it, it all hinges on the use of APIs that connect third-party companies (fintechs, retailers, tech giants) directly to the extensive banking services and systems of more traditional financial institutions. BaaS platforms are technically the intermediaries, facilitating seamless integrations between the banks and the non-banks, enabling those non-banks to offer a range of financial services and products (including payments, lending, insurance, and investment services) under their own brand that enable a frictionless, all-in-one experience for their customers.
The operation of BaaS through APIs ensures the basic functionality of ‘banking’ but it also offers the compliance and security that consumers expect when they interact with any sort of financial service or product. BaaS promotes extensive fintech partnerships, giving the opportunity for non-banks to design and deliver truly customized financial solutions that meet the (often very) specific needs of their customer base, without dealing with the burden of developing, maintaining, and regulating a complete banking infrastructure.
BaaS is often seen as a transformative model in the financial services industry, democratizing access to financial services and encouraging innovation and inclusion. Companies can diversify their offerings, improve customer engagement, and generate new revenue streams, all while relying on the track record of robust, secure, compliant banking frameworks and infrastructure provided by established banking partners. Ultimately, while this improves customer access to a variety of financial offerings, it also helps drive competition and innovation in the industry as a whole, enabling more choice and more personalized, frictionless experiences for consumers.
Both headless banking and BaaS emphasize the industry-wide drive towards more modular and flexible financial service delivery, yet technically they both serve as distinct functions within the larger ecosystem. While different in how they function and the infrastructure required, the two models can complement each other quite well. For example, a BaaS provider could adopt a headless approach to provide more customizable interfaces for clients, combining robust back-end services with more tailored front-end designs.
Challenges and Barriers: Overcoming Obstacles in Headless Banking and BaaS
As with any innovation, incorporating headless banking or BaaS into your service offerings can come with unique challenges.
- Legacy Systems: One of the most significant challenges facing the adoption of any newer technology in the financial services world is the integration of modern, flexible banking models/systems with outdated legacy systems that are often rigid and complex. These systems can make it extremely difficult to implement the agile and modular structures required by headless banking and BaaS (and often can’t efficiently handle the rapid changes to these products that the market and consumers demand). Additionally, it’s imperative to ensure that new, more modular systems can effectively communicate and operate with existing banking systems and third-party services, which can be challenging, especially when dealing with a wide range of standards and technologies.
- Strategy: To overcome the challenges of legacy technologies, adopt a phased approach to modernization, gradually replacing or encapsulating legacy components with microservices and APIs that offer greater flexibility. Ensure you have access to a Professional Services team or consultants that have deep expertise in systems migrations.
- Regulatory Hurdles: Both models must navigate a complicated framework of financial regulations that vary by region and jurisdiction (and often industry – for example, if you’re offering any sort of banking services to the healthcare industry or government entities, there can be an added layer of compliance considerations). BaaS especially faces compliance challenges, as it involves third parties offering financial services – due diligence for regulatory oversight is key.
- Strategy: Early and ongoing engagement with the right regulatory bodies is critical, and the use of regulatory sandboxes for testing can be helpful. Leverage expert legal and compliance teams to build and maintain a framework that adapts to regulatory evolution and new compliance demands.
- Security: Security is crucial, as it is with all financial services, especially given the increased exposure to fraud and cyber threats that come with opening up banking systems through APIs and enhanced customer touchpoints.
- Strategy: Adopt robust cybersecurity measures, including end-to-end encryption, regular security audits, and compliance with the most stringent international security standards to mitigate these risks.
- Cultural/Organizational Resistance: Shifting to a new model requires buy-in across the organization and often necessitates a significant cultural shift, moving away from more traditional banking practices to more innovative, technology-driven approaches.
- Strategy: Leadership needs to champion the change, and implement comprehensive training programs to ensure alignment company-wide. Be sure to illustrate the competitive advantages and potential for improved customer experiences and sustainable growth to help gain buy-in.
- Integration Complexity and Lack of Expertise: While APIs facilitate integration between systems, managing a large amount of interfaces between the front and a variety of back-end services can quickly become complex.
- Strategy: It can take significant effort to ensure stability, performance, and consistency across all of these interfaces – the key is deep expertise in integrating systems, tech migrations, and developing new infrastructure.
Leading the Headless Banking and BaaS Evolution
Who’s leading the charge? Those organizations who embrace agility, technological prowess, and new models for delivering financial services. Here’s a closer look:
Fintech Startups
Fintech startups are often the most aggressive in adopting headless banking principles due to their digital-native foundations and lack of legacy infrastructure. They are known for their rapid innovation, customer-centric designs, and use of modern technology stacks, making them natural leaders in this space. Examples include:
- Challenger Banks: Digital-only banks like Revolut, Monzo, and N26, who can leverage headless architectures to offer innovative, user-friendly banking experiences.
- Banking Platforms: Companies like Plaid and Stripe provide API-driven services that enable other businesses, including traditional banks, to offer fintech solutions seamlessly integrated with their existing offerings.
Traditional Banks
Banks that are investing in digital transformation initiatives, forming partnerships with fintech companies, or developing in-house solutions to modernize their banking platforms. Examples include:
- Global Banks: Some of the world’s largest banks, such as JP Morgan Chase, Goldman Sachs (with its Marcus brand), and HSBC, are investing heavily in digital banking initiatives, including the adoption of headless and API-driven architectures to enhance customer experiences and expand their digital offerings.
- Regional and Community Banks: Smaller banks are increasingly partnering with fintech and BaaS providers to leverage headless banking capabilities, allowing them to offer competitive digital services without the need for extensive in-house technology development.
Technology and BaaS Providers
Technology companies and BaaS providers offer the infrastructure, platforms, and tools that enable both fintech startups and traditional banks to implement headless banking solutions. These providers are crucial enablers of the trend, offering the APIs, development platforms, and cloud infrastructure necessary to build and scale headless banking services. Key players include:
- BaaS Platforms: Companies like Solarisbank, Banking Circle, and Galileo offer banking-as-a-service platforms that enable other businesses to launch financial products quickly and efficiently using headless principles.
- Cloud Service Providers: Major cloud providers such as Amazon Web Services (AWS), Google Cloud, and Microsoft Azure offer the infrastructure and services that support the scalability, security, and flexibility required for headless banking.
Future Outlook
At Provenir, we’ve been on the forefront of tech innovation for financial services for the past twenty years – and it looks like the next twenty hold just as much potential! So what does the future hold for both headless banking and BaaS? Both models are set to significantly influence wider industry dynamics, driving further transformation in financial services, enhancing customer experiences, and driving operational efficiencies. Some key things to keep in mind:
- Technology and Innovation: Cutting-edge tech (like AI/ML) is crucial. These technologies enable more personalized banking experiences, less friction in the customer experience, improved security measures, and greater operational agility. Integrating artificial intelligence allows for smarter, data-driven decisions that can be scaled as needed, transforming customer touchpoints to more meaningful, tailored experiences.
- Seamless Integration: Headless banking and BaaS can help encourage more seamless integration of financial services into the daily lives of consumers, enhancing the customer journey with BaaS services like integrated payments, lending, and insurance. Headless banking will empower more banks to rapidly innovate and customize offerings, reducing the time-to-market for new products and services, and reducing friction along the journey.
- Cloud-Based Platforms: Holistic, end-to-end, cloud-native risk decisioning platforms can play a pivotal role in the tech transformation of the industry. Platforms like Provenir’s AI-powered decisioning solution can provide the necessary infrastructure to manage vast amounts of data security and safely, and comply with regulatory requirements, while supporting real-time risk assessment and decisioning across fraud and credit.
- Traditional Bank Response: Prominent tech companies and fintechs are leading the way in BaaS, while larger players like Stripe and Square are providing platform services that enable other businesses to offer financial services. Financial institutions like DBS and BBVA are delving into headless banking by separating their customer-facing interfaces from core banking services. More traditional banks are increasingly responding to these trends by either partnering with fintechs, investing in their own BaaS or headless banking solutions, or acquiring promising tech startups to bring these innovations in-house.
The BaaS market size is estimated at USD 5.32 billion in 2024, and is expected to reach USD 14.72 billion by 2029, growing at a CAGR of 26.60% during the forecast period (2024-2029).
As with all tech trends in the past twenty years (remember your first mobile payment?), anything truly innovative is poised to fundamentally change how financial products and services are developed, delivered, and consumed. As the focus on consumer experience continues to grow, tech that shifts the industry towards more integrated, customer-centric, frictionless experiences will be golden – especially because it can also improve operational efficiency and encourage sustainable business growth.
For more information on how holistic, end-to-end decisioning can help you launch your headless banking or BaaS products:
Successful Digital Transformation in Financial Services
Q&A with Industry Experts
Successful Digital Transformation
in Financial Services
01
Digital transformation is critical for financial services organizations who want to thrive in our increasingly digital age. As consumers demand more and more from their financial services interactions, those organizations that don’t evolve will be left behind. But what are the keys to a successful journey?
We recently hosted a webinar focusing on the intricacies of this transformative process, looking at key challenges and guidance for financial institutions looking towards a digitally empowered future. And from that discussion, a number of insightful audience questions were addressed – so we wanted to share some of them here with you!02
With digital transformation came digital banking which made life easy for both consumers and would-be thieves. How can we mitigate the increasing hacking risks associated with digital banking, from both the customer side and the bank side?
Digitalization is increasing – and yes, so is fraud. This is where client authentication becomes so important, and truly understanding and knowing your customer is key. Device authentication for example can be critical, as well as collecting the required data to be sure we are understanding our customers without impacting the customer journey. That level of discipline needs to sit with the financial institution, without necessarily being seen or experienced by the customer. Identity theft is quite prevalent, especially in certain regions like the Nordics, so it’s critical to balance the need and desire to have strong fraud and identity management in place, without adding friction to the process for your consumers.
03
How is generative AI impacting decisioning?
There is a potential for a large impact on decisioning with the use of generative AI tools. We’re in the early adoption stages, because from a regulatory and compliance standpoint, there is a nervousness about using these tools to push businesses forward. Institutions are risk averse, cautious, and measured in the terms of the policies they implement. Corporate governances are challenges for many banks, particularly when dealing with a variety of regional regulations. In part, it comes down to explainability. While AI tools can certainly help from a risk decisioning standpoint, and should be fully explainable in that regard, there is not enough known about the control and regulation of generative AI tools to ensure that data is being used and stored properly. Ultimately, we’re early on in this journey and they will play a fundamental role in our industry over the next few years.04
What is the importance of being able to adjust business lending and fraud rules quickly given the rate of change in the macro-economic landscape, customer behavior and MO of fraudsters? Why are organizations, particularly in the financial services industry, struggling to keep up with these rates of change?
Often, organizations struggle to keep up with the rate of change due to the technology infrastructure in place. Being able to make changes quickly to respond to market demands and evolving threats is key to not only accurate fraud prevention, but also simply ensuring that you’re meeting the needs of your customers. If you have to wait six weeks for sign-off on a policy change, and then wait additional time for a vendor or your IT team to make iterations in your decisioning processes, you’ve left your organization susceptible. Having self-sufficiency in times like these is critical – being able to use advanced analytics to optimize decisioning strategy, quickly, and then make those changes just as quickly is key. But you need the right technology in place to support that flexibility and agility.05
When the bank is undergoing a full digital transformation, many projects and developments are done at the same time with limited resources. What does management need to pay attention to when making decisions on priorities?
The first step is making sure that all projects have been categorized and prioritized with the entire group, and that those priorities are aligned with the overall group/organizational strategy. Alignment is key. It is very difficult to have competing projects fighting for resources (time, money, human) and this is a common challenge among financial services institutions. Allowing for a level of flexibility and adaptability is crucial – often what helps is reevaluating priorities at set intervals, every quarter for example. The largest priorities may not change often, but the smaller, more nimble priorities can (and often do), and your project management structure should be flexible enough to accommodate that.06
Given the increasing flow of information, number of processors and variety of processors within the competitive landscape, what is the importance of increasing the number of data connections to enhance decisions towards better business outcomes?
Increasing data connections can be helpful, but it’s worthwhile to note that we don’t want to connect to so many that it’s overwhelming. It’s not just about more data, it’s about the right data at the right time, in order to see the real value of those data sources. Getting the right level of customer data that you need to adequately support your decisioning processes is crucial. Having a broader spectrum of data available, in terms of types of data sources and variety, as well as quality, is more important than just continually adding new data sources that won’t provide any additional value to the view of your customers (and may in fact add more friction to the journey). Data sources that allow for a strong level of automation in your decisioning processes will also be more valuable than those that require manual intervention or human oversight (which add complexity and slow down the process).07
Will the current path of digital transformation that banks are on (locally and globally) lead to more financial stability or more future crisis scenarios (like Silicon Valley Bank)?
Financial stability is important – we weathered this during the financial crisis in 2008, and there are continual efforts to combat any instability. One of the things that led to that instability is the fracturing of the value chain. When you have new players who are so specialized and who don’t see the whole banking picture, there are inherent risks. On the other hand, when you have large incumbents who do everything in-house, they see the whole picture, but they can often be very rigid and slow to move or make changes, which has different risks and implications on financial stability.
Balance risk with opportunity across the customer lifecycle.
Breaking BaaS: Keeping The Sponsor Bank-Fintech Relationship On The Straight And Narrow By Taking a Page From Franchising
BLOG
Breaking BaaS:
The Sponsor Bank-Fintech Relationship On The Straight And Narrow By Taking a Page From Franchising
Michael Fife, Vice President – Sales & Consulting, U.S., Provenir
The financial services industry is undergoing a profound transformation, with technology-driven innovations reshaping traditional banking models. Among these innovations, Banking-as-a-Service (BaaS) has emerged as a pivotal enabler, allowing fintech companies to leverage the infrastructure and regulatory framework of established banks to offer a wide range of financial products and services. However, the success of BaaS partnerships hinges not only on technical integration but also on fostering a collaborative relationship between sponsor banks and fintechs akin to the dynamic between franchisors and franchisees.
Franchising as a Model of Business Standardization
Franchisors provide franchisees with a well-defined blueprint for conducting business operations, encompassing everything from brand identity to operational processes. While brand identity may not be as critical in BaaS, the importance of standardized processes cannot be overstated. Similarly, sponsor banks must offer fintech partners a structured framework for conducting banking activities to ensure regulatory compliance and mitigate risk.
Applying Franchise Principles to BaaS
Sponsor banks must go beyond merely providing access to core banking systems and lending licenses; they must actively engage with fintech partners to establish standardized procedures for loan origination, risk assessment, and compliance. This entails defining acceptable risk criteria, specifying data sources for lending decisions, and establishing governance mechanisms for risk management.
The Imperative of Transparent Collaboration: Cloud-Native Decisioning Platforms Are One Facilitator of Collaboration
Achieving transparency and collaboration in risk management requires robust technological solutions. Cloud-native risk decisioning software offers fintechs and sponsor banks the necessary tools for data ingestion, decision and fraud orchestration, and manual review processes. Moreover, these platforms facilitate administrative functions such as user access management, version control, and auditing, thereby streamlining collaboration between a sponsor bank and its compliance team and the fintech, ensuring compliance with regulatory requirements.
Aligning Market Demands with Regulatory Compliance
By leveraging an industry-recognized risk decisioning platform, sponsor banks and fintechs can collaboratively define risk policies according to universally-recognized standards that balance market demand for a given fintech product with regulatory obligations. This collaborative approach not only enables fintechs to address a specific market need but also ensures that sponsor banks adhere to regulatory frameworks, such as capital requirements, data privacy, and KYC/BSA/AML requirements, among other banking regulations.
Navigating Challenges and Seizing Opportunities:
Overcoming Regulatory Hurdles
One of the primary challenges in BaaS partnerships is navigating the complex regulatory landscape governing the financial services industry. By establishing clear governance structures and leveraging cloud-native technology solutions that enable oversight and rule-based administration, sponsor banks can mitigate regulatory risks and foster trust with fintech partners.
Seizing Opportunities for Innovation
BaaS partnerships present opportunities for both sponsor banks and fintechs to innovate and differentiate themselves in the market. By collaborating on product development, leveraging advanced analytics, and embracing emerging technologies such as blockchain and artificial intelligence, partners can deliver cutting-edge financial solutions that meet evolving customer needs.
As the financial services industry continues to evolve, the collaboration between sponsor banks and fintechs in the realm of BaaS will become increasingly vital. By embracing a franchisor-franchisee dynamic characterized by standardized processes, transparent collaboration, and technological innovation, partners can unlock the full potential of BaaS and drive positive outcomes for customers, regulators, and stakeholders alike.
LATEST BLOGS
Islamic Banking and Financial Services: Where Tradition Meets Innovation
BLOG
Islamic Banking and Financial Services:
Where Tradition Meets Innovation
Allison Karavos
Embracing Advanced Risk Decisioning in the Digital Age
Islamic banking, a rapidly evolving facet of the financial services sector (primarily in the MIddle East), presents a unique blend of traditional Islamic principles and modern financial practices, challenging professionals in finance, lending, credit, and risk decisioning to rethink their strategies. At its core, Islamic banking adheres to Sharia law, which has a number of implications on everyday financial transactions.
Some of these principles include:
Paying or charging interest (riba) is prohibited (instead of interest, islamic financial institutions essentially profit-share with a model called equity participation)
Maisir (gambling) is prohibited
Gharar (excessive risk) is also prohibited
Financial transactions must be backed by tangible assets
Investments in industries deemed ‘unethical’ is not allowed
These rules and frameworks create a complex landscape of commercial transactions, with stricter parameters and compliance procedures governed by principles such as profit and loss sharing and risk-sharing models, distinguishing it significantly from conventional banking systems. For financial institutions navigating these intricacies, the integration of sophisticated automation becomes not just a competitive advantage but essential. Automation technologies, including risk decisioning software, can play a pivotal role in ensuring compliance with the dynamic regulatory requirements and adapting to evolving consumer demands. They offer the agility needed to align with nuanced, principle-based transactions while maintaining efficiency and competitiveness in the global market. And the Islamic finance sector continues to expand, with more than 560 banks and over 1,900 mutual funds around the world that comply with Islamic principles. Between 2015 and 2021, Islamic financial assets grew to about $4 trillion from $2.17 trillion and are projected to rise to roughly $5.9 trillion by 2026, according to a 2022 report by the Islamic Corporation for the Development of Private Sector (ICD) and Refinitiv. Global Islamic finance assets are said to have reached $4.5 trillion USD in 2022 and are projected to reach $6.7 trillion USD in 2027. The industry has more than doubled since a decade ago, and almost 60 countries now have Islamic finance regulations, with several new markets in Asia and Africa exploring the introduction of Islamic financial services.
Leveraging technology to harmonize these rich traditions with the demands of modern finance has become increasingly crucial for institutions aiming to thrive in this distinctive financial landscape.
Islamic Banking: Complex Needs Means Complex Challenges
Looking deeper at the complexities of Islamic banking reveals numerous challenges faced by financial institutions. One significant hurdle is the inherent variability in Islamic finance principles, which can differ across regions and jurisdictions. This diversity, influenced in part by differing interpretations of Sharia law, leads to variations in products and services offered, complicating compliance and operational strategies. Additionally, the Islamic finance sector, like all of finance, is subject to continuously evolving regulations, adding layers of complexity for institutions striving to remain compliant. On top of that, there are often regional differences in regulations and legislation, adding additional legal complexity on top of the cultural challenges, affecting the overall structure, delivery, and compliance requirements of Islamic financial services. And let’s not forget operational costs, which can be prohibitive when considering the requirements to align financial products and services with Islamic banking principles/guidelines – often needing specialized expertise and processes to ensure all nuances are covered.
This is where the use of outdated or legacy risk decisioning software can pose a significant threat – not only to the overall adherence to Islamic banking principles, but also to the overall customer experience, which, as we all know, is key to customer retention and loyalty. Traditional risk management and assessment tools, typically designed for more conventional financial services systems, can fall short in decisioning accuracy when faced with the unique considerations of Islamic banking. This can lead to overall operational inefficiencies, increased risk exposure (including credit losses and fraud), and an inability to adequately meet the demands of your customers, especially when it comes to tailored product offerings and frictionless experiences across the entire journey. And introducing unnecessary (and unwelcome!) friction in the customer experience is a surefire way to negatively impact customer satisfaction and overall retention.
Embracing Advanced Risk Decisioning Technology
But the good news is, investing in advanced, automated, adaptable risk decisioning technologies can enhance the customer experience and help you maintain a competitive edge, while still effectively managing your risk in an increasingly complex financial landscape. Upgraded risk decisioning tech, especially when it includes embedded intelligence like AI/ML, can transform your risk management strategy, while still ensuring compliance with Islamic banking principles. AI can analyze vast amounts of data, identifying patterns and risks that may be overlooked by traditional evaluation methods, enabling a more holistic, accurate assessment of risk and your customers – and more compliant decision making. The integration of advanced technologies also streamlines your risk processes, reducing the time and effort required to accurately evaluate your customers. Gaining this efficiency means lower operational costs, but it also helps to accelerate the delivery of financial products and services to your customers, greatly enhancing the overall experience and helping ensure customer satisfaction and loyalty. Islamic banking customers, like customers of just about any industry these days, expect fast, personalized offers – which isn’t easy to do with more legacy tech.
Besides these obvious benefits, updating your legacy risk decisioning technology also helps to support further innovation within the Islamic banking sector. Like everything else in finance, change and evolution is the name of the game – but it’s very difficult to remain agile and adaptable with outdated, siloed systems and processes. Leveraging more flexible tech, especially with embedded intelligence, enables the rapid development of new, compliant financial products and services that meet the evolving needs of both customers and the market as a whole. Consider advanced risk decisioning a dual-force, empowering Islamic financial institutions to navigate complex compliance requirements with ease, while also fostering an environment of innovation (and bonus, don’t forget that whole customer satisfaction piece). Mitigating risk and driving the industry forward in a way that aligns with both traditional Islamic principles and modern customer expectations means you can strike that necessary balance in this unique environment.
Future-Proofing Your Decisioning Technology
So if you’re convinced of the importance of upgraded technology to support risk mitigation, customer experience, and adherence to Islamic banking guidelines… what can you do to ensure you are implementing the best risk decisioning technology that not only meets your needs now, but also supports your needs in the future?
Some key things to keep in mind are:
Data: Ensure you have access to a rich variety of global data sources, including both traditional and alternative data, and that your data can be easily accessed and integrated into your risk decisioning workflows.
Ease-of-Use: Do you need to rely on vendors or your IT team to implement any new changes in your decisioning processes, or can you make changes yourself? Look for credit risk management software that is business-user friendly, with an intuitive, low-code UI, drag-and-drop processes, and easy visualization so you can make changes in minutes.
Embedded Intelligence: Make sure you have access to your decisioning data and the ability to use advanced analytics and embedded intelligence to understand your decisioning performance and optimize accordingly.
End-to-End: Can you make decisions across the entire customer journey, all in one platform? Eliminate siloed processes and disparate systems with end-to-end decisioning that allows you to onboard customers seamlessly, detects and prevents fraud, optimizes collections treatment strategies, and enables personalized, relevant product offerings (including upsell/cross-sell opportunities) across the lifecycle.
Case Management: Not every decision can be automated – but with case management integrated into your decisioning, you can streamline referral handling for frictionless investigations.
Just like Islamic banking beautifully blends tradition and innovation, so too can your risk decisioning technology. Incorporating advanced technology in your risk assessments, including AI/ML, allows you to respect the traditional values of Islamic banking while embracing technological innovation to meet the dynamic needs of today’s customers. And if you can’t replace all existing technology with upgraded solutions, start small and integrate new processes and solutions alongside existing systems to start reaping the benefits of automation as quickly as possible.
By integrating these advanced technologies, you can foster an environment of innovation, driving the industry towards a more inclusive, efficient, and forward-thinking future.
LATEST BLOGS
Carbon’s Ceci López and Kike Fashola Are Banking on Nigerian Fintech Innovation
PODCAST
Carbon’s Ceci López and Kike Fashola
Are Banking on Nigerian Fintech Innovation
These risk leaders are disrupting the status quo across Africa’s fintech landscape.
As the fintech industry matures, more and more women leaders are driving innovation forward. Kike Fashola and Cecelia Lopez are two of them, heading up credit risk decisioning at Nigerian digital bank, Carbon. Join us as we revisit their conversation with Provenir’s Adrian Pillay, originally aired in September 2023:
In our first EMEA-focused episode, host Adrian Pillay sits down with digital bank Carbon’s Ceci López (Head of Decisioning) and Kike Fashola (Chief Risk Officer) to take a look at the relationship between risk and reward and the future of fintech in Nigeria.
They dig into topics like using data science to support innovation, how to drive adoption of emerging tech in an emerging market, and some of the implications we may not always think of when we talk about AI in risk management.
Listen Now
Tune into our Podcast on Apple or Spotify by clicking the icons below.
Apple Podcast | |
Spotify Podcast |
The Panelists:
-
Cecilia López
Cecilia López is a graduate in Actuarial Science from the University of Buenos Aires, boasting a decade of experience dedicated to the development, implementation, and monitoring of predictive models for medium to large-scale businesses. Additionally, she has served as a risk consultant for various banks and Oil & Gas companies across Latin America, specializing in credit risk modeling and the diagnosis and optimization of operational and business processes.
Today, Cecilia holds the position of Head of Decisioning at Carbon, where she spearheads the Data Science and Credit Risk departments. Her extensive expertise in predictive modeling and risk assessment makes her an invaluable asset to the organization, contributing significantly to its success in these critical areas.
-
Kikelomo Fashola
Kikelomo (Kike) Fashola is a Credit Risk Leader with over 9 years of experience in the financial industry. She is currently working at Carbon, a leading FinTech company in Nigeria. Kike is a highly motivated and results-oriented professional with a proven track record of success in managing credit risk. She is also a strong team player and has a deep understanding of the Nigerian financial market.
Kike is a graduate of Covenant University, where she majored in Industrial Mathematics.
Kike is a positive and proactive individual who is always looking for ways to improve. She is not afraid to challenge the status quo and is always looking for the silver lining.
-
Adrian Pillay
Adrian Pillay is an experienced Credit Risk professional, and has been involved in financial inclusion and access to credit initiatives in 37 countries across Africa, Middle East, Asia and Asia Pacific. He has also supported World Bank and IFC in their Credit Bureau Program, which aims to drive the expansion of credit bureau coverage across developing markets.
He has held various leadership roles at leading Credit Risk companies such as TransUnion, Dun & Bradstreet, Experian and FICO. He is Vice President of Sales at Provenir, and is responsible for its business in Middle East and Africa.
Cecilia López
Cecilia López is a graduate in Actuarial Science from the University of Buenos Aires, boasting a decade of experience dedicated to the development, implementation, and monitoring of predictive models for medium to large-scale businesses. Additionally, she has served as a risk consultant for various banks and Oil & Gas companies across Latin America, specializing in credit risk modeling and the diagnosis and optimization of operational and business processes.
Today, Cecilia holds the position of Head of Decisioning at Carbon, where she spearheads the Data Science and Credit Risk departments. Her extensive expertise in predictive modeling and risk assessment makes her an invaluable asset to the organization, contributing significantly to its success in these critical areas.
Kikelomo Fashola
Kikelomo (Kike) Fashola is a Credit Risk Leader with over 9 years of experience in the financial industry. She is currently working at Carbon, a leading FinTech company in Nigeria. Kike is a highly motivated and results-oriented professional with a proven track record of success in managing credit risk. She is also a strong team player and has a deep understanding of the Nigerian financial market.
Kike is a graduate of Covenant University, where she majored in Industrial Mathematics.
Kike is a positive and proactive individual who is always looking for ways to improve. She is not afraid to challenge the status quo and is always looking for the silver lining.
Adrian Pillay
Adrian Pillay is an experienced Credit Risk professional, and has been involved in financial inclusion and access to credit initiatives in 37 countries across Africa, Middle East, Asia and Asia Pacific. He has also supported World Bank and IFC in their Credit Bureau Program, which aims to drive the expansion of credit bureau coverage across developing markets.
He has held various leadership roles at leading Credit Risk companies such as TransUnion, Dun & Bradstreet, Experian and FICO. He is Vice President of Sales at Provenir, and is responsible for its business in Middle East and Africa.
Transcript
Carbon’s Ceci Lopez and Kike Fashola Are Banking on Nigerian Fintech Innovation
00;00;09;26 – 00;00;34;06
Intro
You’re listening to the Disruptor Sessions, The Visionaries Guide to Fintech, a podcast from Provenir. Every episode, we sit down with global thought leaders and innovators to explore the future of fintech., from the technology powering change to the visionaries driving disruption. Now your host, Adrian Pillay.
00;00;34;06 – 00;01;01;05
Adrian Pillay
I’m Adrian Pillay, Vice President of Sales for Middle East and Africa at Provenir, and this is our first podcast episode exclusively focused on Africa. We’ll discuss topics like using data science to support innovation, how to drive adoption of emerging tech in an emerging market, and some of the implications we may not always think of when we talk about AI in risk management.
00;01;02;09 – 00;01;34;29
Adrian Pillay
I’m really excited to have two wonderful guests join me to discuss more about their fintech journeys and how their company’s making an impact in fintech in Africa. My guests today are Cecilia Lopez, who we’ll be affectionately calling Ceci, and Kike Fashola, who are both with Carbon. Carbon is a digital bank headquartered in Nigeria, offering loans, payments, investments and personal finance management solutions to customers across Nigeria.
00;01;36;00 – 00;01;42;09
Adrian Pillay
Ceci and Kike, great having you both join me today and really looking forward to our conversation.
00;01;42;27 – 00;01;45;06
Ceci Lopez
Hello. Thank you, Adrian, for the introduction.
00;01;45;10 – 00;01;46;02
Kike Fashola
Thank you.
00;01;46;18 – 00;02;02;06
Adrian Pillay
To kick things off, can I ask you both to introduce yourselves? Tell us a little bit about your backgrounds and how you came to work at Carbon and would also love to hear about any defining moments, experiences that shaped you into the leaders you are today.
00;02;03;08 – 00;02;33;20
Ceci Lopez
This is Ceci. I’m very happy to be here sharing this conversation with you and Kike. I am the Head of Decisioning at Carbon. I’ve been working with Carbon since 2020, so more than a couple of years now, and I’m responsible for credit risk management and also for data science. I’m an actuary. I have a degree in actuarial sciences but I’ve been working in data science for the past 13 years.
00;02;33;20 – 00;02;49;20
Ceci Lopez
I am very excited about the work we are doing in Carbon to introduce innovative data science, machine learning , and all these new artificial intelligence tools we are seeing out there in the process of decision making in our company.
00;02;50;01 – 00;03;18;26
Kike Fashola
I’ve been working in credit risk management for nine years with seven of those years at Carbon. I have a strong understanding of the credit process from identifying and assessing risk, to developing and implementing mitigation strategies. So in 2014, I joined Carbon as a Credit Analyst. I quickly learn how to use my analytical skills to uncover potential risks and my communication skills to explain those risks to the company’s stakeholders.
00;03;19;09 – 00;03;45;08
Kike Fashola
In 2018, I left Carbon to pursue a new opportunity. However, I rejoined the company in 2019 as a Credit Manager. In this role, I have expanded my responsibilities to include developing and implementing credit risk mitigation strategies. A defining moment that made me become the leader I am today was basically being called back to work at Carbon.
00;03;45;08 – 00;04;09;20
Kike Fashola
When I started at Carbon initially, my confidence level was very low. And after going to other places, being asked to come back. – that built my confidence. Similarly in a male dominated industry, I didn’t allow that fact to intimidate me. I was confident in my skills, my abilities, and not be afraid to stand up for myself and for my ideas.
00;04;09;24 – 00;04;31;06
Ceci Lopez
In my case, I would say it’s hard to identify a defining moment. Right? But what I can say is that during my career, I’ve had great managers and so I’ve learned from great leaders. And I’ve learned from them what it takes to be an effective manager. It’s more of a career path, learning from great managers.
00;04;32;09 – 00;05;01;02
Adrian Pillay
I love that, Ceci. I completely agree with you. A large part of how I too would define the key moments that have helped define me as a leader, would be the experiences and the interactions and the influence that my past managers have had over the years in my career as well. So I love that. I think for my first question – Ceci, this is probably one that you would like to pick up.
00;05;01;02 – 00;05;12;27
Adrian Pillay
What’s your view on disruptors or the disruption happening in financial services, and more so, what does disruption mean to you as a data scientist?
00;05;13;21 – 00;05;45;23
Ceci Lopez
Well, I actually think that the financial services industry is one of the most disruptive industries in the world. All these new technologies – we are having right now an artificial intelligence revolution in the past couple of months. And also all the things we’ve been seeing before, big data, blockchain, these are changing the way financial services are delivered. These technologies are enabling new entrants to the markets -fintech companies – and these new entrants are challenging traditional institutions.
00;05;45;23 – 00;06;16;22
Ceci Lopez
These fintech companies, for example, are offering new products and new services that are more convenient, more affordable than those traditionally offer for the customers. And these companies are using technology to make it easier for customers to manage their finances. So overall, I believe that this disruption in the financial services industry is a positive development and it is leading to more innovation, more competition, which is, at the end of the day, beneficial for for the consumers.
00;06;17;09 – 00;06;38;01
Ceci Lopez
However, this disruption is also creating challenges, right? These traditional financial institutions, for example, are facing increased competition – they need to adapt their businesses to remain competitive. Also and most importantly – and this also applies for fintech, right – we need to invest in new technologies to stay ahead of the curve.
00;06;38;01 – 00;07;17;28
Ceci Lopez
Key disruptors in the financial services – well, I mentioned the fintech companies – we are using technology to offer new financial products and services to the customers. These companies are often more agile, more innovative. That also most of the time translates, and hopefully translates, in lower fees and better customer service. Big data is used by these financial institutions to improve their decision making. Banks use Big Data, these huge amounts of data they collect, even if it’s not really Big Data, to assess the creditworthiness of the borrowers and the insurance as well. They can use data to price insurance policies better.
00;07;17;28 – 00;08;03;17
Ceci Lopez
Artificial intelligence. I mention this is being used by financial institutions to automate tasks. For example, we use it to automate fraud detection, can also be used to automate customer service. Most importantly, to develop new products, new services. Lastly, blockchain. This is technology used to record financial transactions. This technology is secure, is transparent, and it has the potential to create a revolution in the way financial transactions are processed. These are just a few, right? The industry is constantly evolving. We see new technologies emerging all the time. And it’ll be quite interesting to see how the financial services industry will change in the years to come. It’s really exciting.
00;08;03;17 – 00;08;48;07
Ceci Lopez
To answer your question, Adrian, as a data scientist, I’m very happy to be a data scientist at this time, to see all this revolution we are lucky to witness. Disruption means for me as a data scientist, the introduction of new technologies, new business models that challenge the status quo, right? And in the financial services industry, this disruption is being driven by these new technologies. And now artificial intelligence is the main driver, right? We we all need to embrace and learn how to use all these new tools that are now available for us to improve the service we give to our customers and also to make our companies more more efficient.
00;08;48;22 – 00;09;30;07
Ceci Lopez
So I am excited about the potential of this disruption in improving the financial services industry in general. Again, we can use it to automate tasks, fraud detection and customer service, and we can free up human resources. Our team members can focus on on strategic tasks, right? Leave these, all these manual tasks on the side, automate the process, trust the automated process, and move on. Do great things, have more time for innovation, improve our decision making, using all the data that is available to us, and also providing insights into customer behavior to ultimately offer our customers a better service. Right.
00;09;30;26 – 00;09;50;02
Adrian Pillay
Thanks, Ceci.That was a brilliant answer. Thank you so much. I’d love if both you and Kike could maybe elaborate on one of the points that you’d mentioned and share with us your thoughts on how we can use data science and AI to make processes more efficient.
00;09;50;29 – 00;10;17;04
Ceci Lopez
Absolutely. I can think on the top of my head a number of ways in which artificial intelligence, data science, in particular, machine learning, can be used to make processes more efficient in companies in many industries, if not all. The first one is the automation of tasks that are currently being performed by humans. Right? We can now free up human resources to focus on our more strategic tasks.
00;10;17;24 – 00;10;47;22
Ceci Lopez
I mentioned before fraud detection, customer service case, mainly risk assessment. Also predictive outcomes. Data science teams in banking, fintech are often dedicated to or actually dedicate most of their time to predict outcomes. Right? This outcome is customer churn, for example, defaults, and these help our business making better decisions and to avoid risk or at least to meet our risk appetite, right, for our portfolio.
00;10;48;06 – 00;11;16;10
Ceci Lopez
We could, for example, use artificial intelligence to predict what customers are likely to default on their loans. Right. This is this been done for for a few years. Credit risk models are built with machine learning. But right now, the availability of more and more data and more complex machine learning tools and all these AI tools that we’ve seen out there make this process more interesting. And the results and the performance of of the models is better.
00;11;16;10 – 00;11;34;11
Ceci Lopez
Optimizing the processes is not only about automating them. We can also optimize the process in many ways. And this doesn’t only apply to fintech or financial services, right? We can think of supply chain management, manufacturing. This way the business is can reduce cost, they can improve efficiency.
00;11;34;17 – 00;12;09;25
Ceci Lopez
For example, a company can use artificial intelligence to optimize inventory. In this way, they can minimize waste, maximize profits, right? One of the most important ones, I think, is personalizing the experiences for customers. If companies can personalize the experience for their customers, they can improve customer satisfaction, they can increase sales. They can recommend the best products and services to their customers and those are the customers are likely – are more likely to be interested. Um, we – we see this every day, for example, new streaming platforms.
00;12;10;24 – 00;12;43;08
Ceci Lopez
So I think the possibilities are endless. As these new technologies continue to develop, I think we can expect to see even more ways to use these to improve efficiency. In particular in the financial services industry, I can see great potential in fraud detection for financial transactions. For example, we could analyze patterns of customer behavior to identify suspicious activity in customer service, to answer customer questions, to resolve their issues, to provide recommendations.
00;12;43;08 – 00;13;22;28
Ceci Lopez
In risk assessment, we can assess risk in financial transactions, assess the creditworthiness of borrowers, the likelihood of default by creating models with these new tools. And one of the most interesting ones is marketing. We can, and actually are, using AI to better target marketing campaigns. We can analyze customer data to identify potential customers and personalize marketing messages. So these are these are a few of the examples that come to the top of my head on out of the many, many ways in which artificial intelligence can be used to make processes more efficient.
00;13;23;15 – 00;13;34;11
Adrian Pillay
Thanks, Ceci. And just following up on that, how does this make room for innovation today within your business and other fintechs in the markets?
00;13;35;12 – 00;14;03;25
Kike Fashola
Data science and artificial intelligence can make room for innovation by, you know, freeing up human resources. So when tasks are automated, human resources are freed up to focus on more strategic tasks. This can lead to new ideas and innovations. For example, a bank that automates its customer service can free up its customer service representatives to focus on developing new products and services.
00;14;04;09 – 00;14;23;09
Kike Fashola
Another way is by providing insights. So data science and AI can enable experimentation with new ideas. For example, a bank that uses AI to test different marketing campaigns can identify the most effective campaigns and use that information to develop new marketing strategies.
00;14;24;09 – 00;14;45;21
Adrian Pillay
Thanks, Kike. I think indeed, I think we’re living in exciting times and I think data science and AI really creates a platform for all our employees to really reinvent themselves and redefine how they add value and contribute to the broader business. Really looking forward to see what the future has for us.
00;14;45;21 – 00;14;58;04
Adrian Pillay
And Kike, tell us how you approach the adoption of emerging tech in a market where more tested tech like the Internet is still not available countrywide.
00;14;58;04 – 00;15;30;27
Kike Fashola
Adopting emerging technology in a market where more tested technology like the Internet is still not available countrywide is a challenge. I mean, a very big challenge. However, I mean, we tried a pilot program in the past during COVID to extend credit to market women by financing their goods, and they in turn paying us back in comfortable installments. We also provided training and support to the users as we – as we knew this was essential for successful adoption of emerging technology.
00;15;31;07 – 00;15;52;14
Kike Fashola
This helps them in some way to understand how to use the technology, and in the app and to troubleshoot any problems that they encountered. With careful planning and execution, we know we can successfully adopt emerging tech even in the most challenging markets by, you know, starting small, being patient and being flexible.
00;15;53;04 – 00;16;07;06
Adrian Pillay
Thanks, Kike. I read an interesting blog recently and I’d love to hear your perspectives on innovation itself being sometimes risky for financial institutions.
00;16;07;06 – 00;16;15;07
Adrian Pillay
So in the case of emerging technology like AI, what implications are there that may not immediately come to mind?
00;16;16;08 – 00;16;45;02
Ceci Lopez
Well, innovation is often seen as a positive thing. Right. But it can also be risky. Of course, in the case of emerging technology like AI, there are a number of implications that may not immediately come to mind. Like I mentioned, some of the risks that are associated with AI innovation in financial services. For example, data security, of course, artificial intelligence systems rely on large amounts of data to be trained and to operate.
00;16;45;19 – 00;17;05;01
Ceci Lopez
If this data is not properly secured, it could be vulnerable to hacking or other forms of attack. This could lead to the theft of customer data, to financial losses, reputational damage. So we need to be very, very careful about this. Data security should be a top priority.
00;17;05;01 – 00;17;37;21
Ceci Lopez
Another one that is not something that immediately comes to our minds is algorithmic bias. Artificial intelligence systems are trained on data that reflects the biases of the people who created them, who created the algorithm, who collected the data, actually, and who analyzed the results. Right. We build a model – someone is building it, someone has designed the – the data collection process to build that model. And those things introduce bias in the model and this is natural, right?
00;17;37;21 – 00;18;13;01
Ceci Lopez
So but we need to be careful about this. We need to be aware that this is a risk we have and we need to take all the necessary measures to mitigate the risk of putting in production a model that is biased in any way. Right. So this means that artificial intelligence systems can be biased themselves. And the problem behind this is that a biased algorithm, a biased model, can lead to unfair or discriminatory outcomes. Right? So this is why it is important to control the bias.
00;18;13;01 – 00;19;06;20
Ceci Lopez
Another one would be cyber security. AI systems are increasingly being used to automate tasks in financial services, as we’ve been discussing here. And this means that these systems are becoming more and more interconnected and this makes them more vulnerable to cyber attacks. So if an artificial intelligence system is hacked or any system that has custody of customer data, we will have a data security problem, right? And again, the theft of customer data, financial losses, or even the disruption of the financial market itself. Right. So to me, these three risks: data security, algorithmic bias, cyber security, things that should be taken very seriously. And companies need to make sure that they are taking all the necessary actions to mitigate those risks.
00;19;07;11 – 00;19;30;27
Adrian Pillay
Brilliant. Thanks, Ceci. Yeah, indeed. I think it’s quite interesting that we find even in, in today’s environment, you know, we quite often about data breaches in some of the really large organizations around the globe. So I completely agree. I think it plays such a massive role in those steps that organizations need to be taking to safeguard themselves and their customers in the future.
00;19;30;27 – 00;19;34;01
Adrian Pillay
And Kike is there anything else that you’d like to add on that point?
00;19;35;03 – 00;20;00;02
Kike Fashola
So the first point that may not immediately come to mind is regulatory compliance. AI systems are still in their early stages of development and there’s a lack of clear regulatory guidance on how to use them in financial services. This means that financial institutions could face regulatory challenges if they use artificial intelligence systems in ways that are not compliant with the law.
00;20;00;21 – 00;20;24;19
Kike Fashola
Another point is ethical considerations. For example, how will AI be used to make decisions about who gets access to credit? How can it be used to assess risk, be used to personalize financial products and services? These are all important questions that need to be answered before AI can be widely adopted in financial services.
00;20;24;28 – 00;20;37;02
Adrian Pillay
Great. Thanks for that, Kike. Yeah, I think indeed, we are really living in innovative time period and I think it’s really fascinating and we are fortunate to be part of this journey.
00;20;37;02 – 00;20;45;14
Adrian Pillay
But as we look to the future, you know, I’d love to hear what are you both most excited about and where do you think we’re heading?
00;20;45;14 – 00;21;11;19
Kike Fashola
Given my background in risk, I’m most interested in financial technology. This can help to improve risk management, and two are most striking, the first being machine learning for risk assessment. So machine learning, which is used to develop models that can predict the likelihood of certain risks occurring. This helps us to make better decisions about how to allocate our resources and manage risk.
00;21;12;10 – 00;21;41;17
Kike Fashola
The second point is automated underwriting. We use Provenir for our credit risk decisioning platform to automate our underwriting processes. This has helped us save time and to improve the accuracy of our decisions. I mean, we are able to analyze and prioritize financial data, make credit assessments. This allows us to make better decisions about who we lend money to. And the fact that it’s- I mean, the flexibility aspect of it is most striking.
00;21;41;28 – 00;22;01;24
Kike Fashola
I mean, Provenir is a flexible platform that allows us to modify rules as we wish. We are able to check rules at any time of the day. This gives us the ability to tailor the platform to our specific needs. So yeah, by using these technologies, we have been able to improve our ability to identify, assess, and mitigate risk.
00;22;02;24 – 00;22;39;07
Kike Fashola
So, we know AI is being used to develop new financial products and services that are more personalized, efficient and transparent. For example, AI-powered robo advisors are becoming increasingly popular and AI is being used to develop new ways to assess risks and to price insurance policies. AI can be used to combat financial crime by detecting fraudulent transactions and by tracing the movement of money. This has the potential to make the financial system more secure and to protect people from fraud, which is very important.
00;22;39;20 – 00;22;41;12
Adrian Pillay
And Ceci, anything to add from your side?
00;22;42;09 – 00;23;03;14
Ceci Lopez
I have two off the top of my head. First one is the rise of decentralized finance – systems built on blockchain technology. These allow people to lend, borrow, invest money in a more decentralized way, and it has the potential to make financial services more accessible and more affordable for for people around the world.
00;23;03;14 – 00;23;28;08
Ceci Lopez
Also, the use of artificial intelligence to improve financial inclusion. Definitely. AI can be used to improve financial inclusion by making financial services more accessible to people, people who are currently underserved or not served at all by the financial system in their countries. We could, for example, develop new ways to verify identity and provide financial services to people in rural areas, for example.
00;23;28;08 – 00;23;53;21
Ceci Lopez
And these are just a few of the most exciting things – what Kike mentioned, these couple I mentioned – the most exciting things to come in terms of fintech services, disruption and all these artificial intelligence revolution. I believe that these technologies have the potential to revolutionize the financial services industry, to make financial services more accessible, more affordable, more transparent for people around the world.
00;23;54;04 – 00;24;13;17
Ceci Lopez
And in terms of where I think we are headed, I believe that we are moving towards a future where financial services are more personalized, more efficient, more transparent, and AI will play a key role in this future. And I am very excited to see how it is used to improve the lives of people around the world.
00;24;14;12 – 00;24;40;29
Adrian Pillay
Brilliant. Indeed. Looking forward to the time when access to financial services is tailored to the needs of each and every consumer that’s made available to them when they need it and more importantly, where they need it. I’m excited, as I’m sure we both of you are, to be part of their journey of bringing and providing access to financial services to every person all over the world.
00;24;40;29 – 00;25;00;24
Adrian Pillay
And it looks like we are nearing the end of our session. Ceci and Kike, it was an absolute pleasure having both of you on today and I’ve thoroughly enjoyed our conversation. Thank you both for taking the time out to share your valuable insights and for contributing to The Disruptors Sessions: The Visionary’s Guide to Fintech.
00;25;00;24 – 00;25;12;23
Ceci Lopez
Thank you, Adrian. We are very happy to be here. It was a privilege for us to have your attention and our audience attention and share our thoughts, our insights with you. Thank you very much.
00;25;12;23 – 00;25;13;10
Kike Fashola
Thanks.
00;25;14;00 – 00;25;46;19
Adrian Pillay
Thanks to all our listeners who tuned in to our podcast, The Disruptors Sessions: The Visionary’s Guide to Fintech. You can find more information about Carbon at www.getcarbon.co. We hope you’ve enjoyed today’s episode. And if you want to hear more, explore all our episodes on your preferred podcast platform or listen on our website at provenir.com. We look forward to you tuning in again to our next episode of the series, and until then, take care.
LATEST PODCASTS
Remaining Relevant: Move Now to Tap Into These Top 10 Mega Banking Trends
NEWS
Remaining Relevant:
Move Now to Tap Into These Top 10 Mega Banking Trends
From evolving lending practices to new competition and changing fraud risks and compliance needs, banks are constantly adapting to a shifting landscape. In this FinTecBuzz article, Kathy Stares, Executive Vice President-North America at Provenir, dives into the 10 mega trends reshaping the banking landscape.
The Ultimate Guide to Decision Engines
What is a decision engine and how does it help your business processes?