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Author: Amy Sariego

“Hey, Lenders – Are You Using the Right Data Sources?”

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“Hey, Lenders – Are You Using the Right Data Sources?”

  • Pankaj Jain, Sr. Solution Architect at Provenir

As a digital transformation evangelist with years of experience in the financial and banking industry, I have helped many Fortune 500 clients future-proof their lending programs by providing intelligent solutions, especially in the decision risk management area. Through these engagements, I’ve observed that many lenders compromise their agility in rolling out a decisioning solution due to delays and challenges in the initial steps of evaluating and onboarding the right data sources. Customer needs and expectations are changing in real-time so lenders must eliminate barriers to their own agility to stay in the game. 

Below are few activities I’ve observed that compromise lenders’ agility: 

  • Choosing the Right Data Provider: Considering there are thousands of data providers across many lines of businesses, lenders always have to spend a lot of time choosing the right data provider for their decision strategy. Lenders must evaluate each data provider in each region by the line of business, review their doc specs, figure out ways to test their API in their decision solution, and then, based on the outcome, initiate the onboarding discussion. These activities often significantly delay the implementation of a risk decision solution and ultimately, delay better outcomes for the end customer. 
  • Onboarding Data Providers: Onboarding a data provider involves a series of discussions around pricing, legal contracts, support, etc., and again becomes a bottleneck in the lender’s agility to roll out products to end customers.
  • Switching Data Providers: Considering the effort required to onboard a data provider, lenders often default to their existing data provider and keep using the same data for their new risk decision solution or product. It’s like building a new car with an old engine designed for a different model.  They should put a mechanism in place to easily choose and switch to the data providers that best augment the overall risk decision solution.
  • Keeping Pace Data Sources: As data types are exponentially growing, data providers are offering new data sources, and it is hard for lenders to keep pace with who has what data. Most of the time, lenders default to using the same data type even if there are alternative data products in the market that offer new, more relevant, and deeper insights.

These activities are repeated for each data source and, on average, add a week to a month to making the data available for building a risk decision strategy around it.

To create true agility in launching a risk decisioning platform, lenders need a one-stop hub that offers easy access to a variety of data types so they can evaluate, integrate and easily build decision models around it instead of waiting for months. And having the right data source is as important as having a robust, agile risk decisioning platform.

The Provenir Data Cloud + Provenir Marketplace provides a wide variety of data sources in the lending ecosystem, along with advanced search capability to discover and detect trusted data sources based on geographic location, data type, product type, etc. It’s out of the box, prebuilt API provides seamless integration with available data sources such as credit bureaus, identification and fraud, collateral, alterative credit data, etc. 

The combination of discovering the right data sources and using an out of box prebuilt API allows the lender to quickly switch between different data providers. With a simple click of the button, they can integrate new data sources into their decision strategy seamlessly without having direct contact with the data provider. The lender can test the respective data and enable it for the end customer on the fly once satisfied with the desired test outcome.

Provenir Data Cloud + Marketplace helps lenders be more agile, responding quickly to changing data needs and focusing their time and energy on innovating their financial product. 

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TransUnion Joins Provenir Marketplace to Help Businesses Accelerate Credit Risk Decisions

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TransUnion Joins Provenir Marketplace
to Help Businesses Accelerate Credit Risk Decisions

Industry-Leading One-Stop Data Hub Provides Access to Hundreds of Data Sources

Parsippany, NJ,  April 13, 2021Provenir, a global leader in risk decisioning and data analytics software, today announced that TransUnion (NYSE: TRU) has joined the Provenir Marketplace.

The Provenir Marketplace platform provides organizations with a one-stop data hub for easy access to data covering open banking, KYC/KYB, fraud prevention, credit risk, verifications, social media, collections, affordability and more.

To meet consumer and business demands for instant approvals, organizations need immediate access to a wide range of data sources to make informed, accurate risk decisions. TransUnion, a global information and insights company, will provide Provenir Marketplace users with access to industry leading data, analytics and solutions for real-time credit decisioning and consumer or device authentication, ensuring consumers and organizations can transact with confidence.

“This unique Marketplace brings together the leading stewards of data from around the globe to accelerate risk decisioning,” said Kathy Stares, Executive Vice President, Provenir Americas. “The wealth of data TransUnion brings will be extremely valuable to organizations seeking to make more informed decisions across the customer lifecycle.” 

The Marketplace provides users with access to a wide variety of traditional and alternative global data, enabling them to make smarter risk decisions faster. By leveraging distinctive identifiers, information and insights available from TransUnion alternative and trended data innovations, organizations can gain a deeper and more diversified view of consumers and stay ahead of evolving risk strategies.

“The access to data provided by the Provenir Marketplace aligns with our company’s intent to provide information that can help people around the world access the opportunities that lead to a higher quality of life,” said Aaron Smith, Vice President – Global Technology Alliances. “We are excited to provide access to our incredibly valuable data through this innovative data sharing community.”

About Provenir

Provenir helps fintechs, financial institutions, and payment providers make smarter decisions faster by simplifying the risk decisioning process. Its no-code, cloud-native SaaS products make it easy to rapidly create sophisticated decisioning workflows. With a global data marketplace for seamless integration, powerful AI and machine learning models, and real-time insights, Provenir has supercharged decisioning speed. Provenir works with disruptive financial services organizations in more than 33 countries and processes more than 2 billion transactions annually.

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The Benefits and Risks of Emojis in Payments ‎😃🤫🧐

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The Benefits and Risks of Emojis in Payments ‎😃🤫🧐

You and a friend are heading to the cinema, but your friend finds that he doesn’t have enough cash for the ticket and forgot his wallet. You pay for his ticket, which he promises to pay you back for in a few days.

Two weeks later and your friend still hasn’t paid you back. What now?

It’s a bit awkward to suddenly turn your friendship into a loan servicer-debtor situation. Many people would want to avoid turning their relationship sour by essentially engaging in straightforward collections with a friend. (ie., “Hey, about that money you owe me…”). Sending a friendly picture to jolt their memory and allow them to pay you instantly turns a potentially awkward situation into a fun social interaction.

It’s a bit awkward to suddenly turn your friendship into a loan servicer-debtor situation. Many people would want to avoid turning their relationship sour by essentially engaging in straightforward collections with a friend. (ie., “Hey, about that money you owe me…”). Sending a friendly picture to jolt their memory and allow them to pay you instantly turns a potentially awkward situation into a fun social interaction.

Companies like Zelle, Square, Venmo, and Facebook have all earned popularity based on the use of emojis in the transaction experience. For example, Venmo reports that its average user checks it two or three times per week, often just to see what their friends are up to.

While emojis have rapidly gained steam in recent years as a quirky shortcut and supplement to texting on smartphones, they’ve now become ubiquitous across nearly every communications platform.

Now emojis are also found in frequent business use in industries including marketing, advertising, content in films and on apps, and even as part of website URLs.

Why Platforms Benefit From Emojis ????

What makes emojis transformative and value adding for businesses is two-fold:

First, emojis are essentially a modern hieroglyphic. Emojis allow ideas, messages, and feelings to be conveyed through a representative and easily understood picture. Especially for commonly used phrases or types of communication, such as acknowledgments or reminders, they allow people to engage in time saving shorthand that skips what otherwise might be needless repetition.

Second, emojis humanize and can greatly add to our communications. By supplementing, or even replacing, mere text with additional faces, expressions, and symbols, emojis allow our messages to build a more complete picture of the ideas, thoughts, and feelings involved.

It is only fitting that they’ve now have begun to be used for distinct user interface functions in the payments industry.

Emoji-based payment transactions are not only useful for individuals seeking to increase collections efficiency from covering for their friends after a night out, but also can be useful for business-to-consumer and B2B purposes as well.

For businesses that want to increase user interest in their payment platform or service, emojis are certainly one way to do it.

By providing users with a sleek and modern user interface system, businesses may be able to better facilitate user understanding of their payment products and obligations, as well as increase interest, use, and volume in user-to-user, business-to-user, and B2B transactions.

Emoji Risks

However, emojis certainly come with risks as well.

1. There is no “universal emoji language” or set of common emoji definitions, which makes miscommunication a worry. Also, the lack of standardization might create internal complications for payment providers seeking to translate emoji-information across their accounting and risk-management systems.

With more emojis being created by the day, undoubtedly the communications entanglement may eventually become problematic despite the growing business opportunity.

2. Furthermore, emojis also have not been universally adopted. While many people, ranging from Millennials to baby boomers, greatly enjoy using emojis, not everyone is onboard with this trend. Perhaps as time goes on even more users will adopt emojis, but at the moment many users may still favor a platform or service not exclusively oriented around them.

Nonetheless, emojis are a rapidly growing social trend that looks to have sticking power. Businesses across a variety of industries are already integrating emojis into their platforms and seeing significant boosts in activity and revenue.

With the payments industry a natural fit for emoji-use, undoubtedly we shall see more payments services exploring how to use emojis to boost their customer lists, user activity, transactions volume, and payments efficiency.

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Living in the Mortgage Underwriting Process

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Living in the Mortgage Underwriting Process

  • Matthew Wilde

I have been selling risk analytics and decisioning solutions for years now. I know the value proposition, and fully believe in it, because I speak with financial institutions who share their mortgage-related challenges with me every day. These are incredibly smart people that I get to speak with, innovating in their organisations to make decisioning and underwriting processes more precise, more intelligent, and progressively faster. What I didn’t know, until now, is how difficult it is to live through the mortgage origination process from the customer’s shoes. Since I’ve recently lived it, I have to share my story to corroborate the pain that all of my prospects are sharing — now from a slightly different perspective.

Mortgage in Principle: My Experience

Very recently, I worked with a mortgage broker to kick off the mortgage pre-approval process. My information was submitted to over ninety financial institutions. Now, with a particular interest in this business I was curious to see how communication would be handled and what the response times would be. After all, I’m speaking with these organisations every day and they are all telling me that they are bent on making this exact process more customer-centric, simpler, faster. The first mortgage in principle came back within fifteen minutes, and the remainder trickled in over the following forty-eight hours.

This is the part of the story where emotion plays its part. That is to say, when I was waiting for the pre-approvals to come in there was a new, unfamiliar part of my brain that jumped in the co-pilot seat. My logical brain went along its daily business while our new co-pilot counted through the list of things that were going to go wrong, and how that would rob us of all our hopes and dreams. That co-pilot made forty-eight hours feel like weeks, and was a huge advocate for that first pre-approval. ‘Fifteen minutes! They must really have their operation together; their customer service is going to be fantastic. If those other guys take twenty-four hours for pre-approval, I don’t even want to know what the underwriting process is going to be like.’ I suspect I’m not an anomaly here.

Also, read: Credit Underwriting Process

Receiving a decision in principle is only one step in the process – albeit, often the simplest – and I know my ‘after it’s all said and done’ recap is not going to be 100% sunshine and rainbows, nor should it be. Small doses of fear sharpen our senses in times when outcomes are heavy, and our decisions have consequence. Home buying is a big deal, and borrowing hundreds of thousands of pounds to spend on a house is not supposed to be as light-hearted as ordering a take-out. But, why shouldn’t it be as positive?

Mortgages: Heading in the Right Direction

I have my hopes high for the remainder of the process. After all, I’ve seen first-hand the positive steps that financial institutions are taking toward better, more customer-centric lending processes. Some are a bit slower than others (I know we’re not ordering take-out, but if you’re twenty-four hours behind your competitors, we have some work to do). I’m happy to be part of the solution, and look forward to sharing part two of this story so we can continue improving together.

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Accelerate Your Loan Origination Processes from Start to Finish

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Accelerate Your Loan Origination
 Processes from Start to Finish

It’s not easy balancing customer demands for fast response with the need to reduce time, costs and risks associated with each credit and lending approval. Too often, manual origination and risk decisioning processes drive up time, costs and inconsistency.

Provenir delivers a unified solution for automating credit and loan origination. From simple credit requests to complex loans requiring extensive due diligence, Provenir orchestrates the origination lifecycle from end to end. With Provenir, you can make the right decisions and make them faster to deliver outstanding customer experiences, shorten time to revenue and minimize risk.

Provenir for Loan Origination orchestrates and automates the entire origination lifecycle

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Simplify the Application Process

  • Industry-standard web technology makes it easy to configure a user interface suited to your exact business needs.
  • Multi-currency and multi-language support ensure users in different countries can work in their native languages and currencies.
  • Multi-channel support lets customers submit credit and lending applications over any channel and device including the Web, mobile phones and tablets.

Streamline Data Enrichment

Operationalize Your Analytics

  • Easy integration allows any type of model developed in industry-standard analytics tools, including SAS, R and Excel, to be operationalized in automated decisioning processes.
  • Wizards import a model, map and validate data within a decisioning process in minutes and without any coding.

Speed Up Risk Analytics and Decisioning

  • Straight-through processing enables instant decisioning for simple credit and lending requests, including document generation.
  • Automated terms of business and pricing recommend the specific conditions for each customer and credit/loan request.
  • Rules-driven decisioning identifies exceptions, determines when manual intervention is required, recommends the next best action and routes the application to the appropriate underwriter.
  • Champion/challenger testing uses live data to test and determine the validity of alternative decisioning strategies before they are deployed.

Streamline Closure

  • Configurable adapters support quick integration to core banking systems to complete the origination lifecycle.

Also, read:

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Simplify and Streamline Financial Analysis and Risk Rating

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Simplify and Streamline
Financial Analysis and Risk Rating

Corporate, commercial and SME lending demands extensive financial analysis and risk rating to determine the credit-worthiness of any organization. Lending institutions are bogged down with manual processes for capturing and analyzing essential data to determine accurate ratings.

With Provenir, you can take the manual effort out of financial analysis and risk rating. Provenir offers a unified, flexible solution, automatically aggregating data from disparate and unstructured sources, standardizing it into a common financial model and applying the appropriate ratings model to determine quantitative risk ratings. In addition, Provenir enables rule-based qualitative analysis specific to industries and segments for in-depth analysis before determining overall ratings.

  • Cut time and costs for data enrichment with pre-built adaptors that automatically consolidate comprehensive financial and company information, including entity relationships and group structures, from any enterprise and third-party data sources.
  • Simplify and streamline risk rating across multiple statement formats, countries and currencies with automated normalization and business-defined financial statement templates.
  • Improve consistency and compliance while reducing risk with scorecards and risk models operationalized in automated risk rating processes. Provenir is model-agnostic so that you can use any third-party model or scorecard developed in industry-standard tools such SAS, R and Excel.
  • Enhance business agility using configuration tools that allow you to quickly create, test and deploy streamlined risk rating strategies.
  • Accelerate deployment with Provenir Cloud which offers a highly secure cloud computing environment with flexible options for domain setup, managed services, deployments and scalability.

Streamline Data Capture and Normalization

  • Pre-built integration adaptors aggregate company, financial and relationship data maintained in enterprise and third-party systems, creating a central hub to view and manage relevant information.
  • Support for multiple data capture options provides flexibility including manual data entry, document scanning and automatic uploading from multiple systems.
  • Business-defined templates for financial statements, such as income statements, cash flows and balance sheets across industries, geographies and languages offer a quick way to capture and validate data.
  • Automated application of business-defined rules standardize the presentation of financial statements captured in multiple formats, languages, currencies, etc.
  • A complete audit trail, including change tracking and version control, ensures the most recent financial statements are used in risk analysis.
  • Robust native reporting simplifies reviewing historical financial data. Data can be sent to external data warehouses and reporting systems.

Operationalize Your Risk Analytics

  • Model-agnostic integration allows scorecards and risk models developed in SAS, R and Excel or exported using PMML or MathML to be operationalized in automated risk rating.
  • Easy-to-use wizards import a model, map and validate data in minutes and without any coding.
  • Support for configuring scorecards directly within Provenir or importing third-party scorecards provides implementation flexibility.

Improve Risk Rating Efficiency and Effectiveness

  • Rules-driven decisioning applies risk models and scorecards to aggregated financial data to automatically determine a quantitative rating.
  • Dynamically generated questions based on such factors as financial data, industry and region simplify development of qualitative ratings by guiding users through the process.
  • Business rules can be used to combine quantitative and qualitative scores into an overall risk rating.
  • Business-friendly user interface makes it easy to manage risk rating on an on-going basis, such as viewing previous or historical ratings, modifying ratings, re-rating and transferring risk between related entities.
  • Automated portfolio monitoring can continually assess performance for any aspect of a loan portfolio with early warning indicators identifying potential problems.
  • Spreading capabilities use existing financial data to simulate potential future scenarios for a specified period of time.

Increase Business Agility

  • A visual configuration environment provides graphical tools and wizards to quickly implement streamlined financial analysis and risk rating processes.
  • Flexible configuration tools facilitate quick integration with multiple data sources including enterprise and third-party systems, websites and social media.
  • Configurable adaptors support quick integration to core banking systems to complete the loan origination lifecycle.

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Rapidly Develop and Deliver your Unique Intellectual Property with Simplified Risk Analytics and Decisioning

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Rapidly Develop and Deliver your Unique Intellectual Property with Simplified Risk Analytics and Decisioning

Innovative fintech companies pride themselves on fast, frictionless and customer-focused service. The problem is that manual, slow systems make it difficult to deliver on this promise. Payment providers, peer-to-peer lenders, lending marketplaces and other fintech disruptors need agile systems that help them continuously create more value for their customers and their business.
Only Provenir does the hard work of simplifying your risk analytics and decisioning processes. The Provenir Risk Decisioning Platform puts the power of change into the hands of the business. Innovative, user-focused tools empower fintech companies to quickly build customer-focused credit, lending and payment processes.  With Provenir, you can:

It all adds up to higher customer satisfaction, greater efficiency, lower risk and unprecedented business agility.

Agile Technology to Simplify Fintech Processes

Operationalized Analytics— Provenir makes it easy to operationalize risk models developed in industry-standard analytics tools, including SAS, R, Excel or any tool that supports PMML or MathML. You can connect models to a decisioning process in minutes and without any coding, ensuring risk decisioning is always using the most up-to-date intelligence.
Simplified Integration—Pre-built adaptors cut integration effort. Quickly integrate with internal and external databases, CRM systems, websites, social channels and data bureaus to automatically aggregate all the data needed for accurate decision making.
Orchestration Hub—End-to-end orchestration streamlines every step in the process. Provenir’s platform automatically captures and enriches data, uses existing analytic models to determine the risk profile and moves the decision to the appropriate next step.
Agile ConfigurationVisual configuration tools promote business agility and independence. Business and IT can create, change and deploy user interfaces, rules, process flows and integrations without high-cost vendor engagement or extensive coding.
Unified PlatformProvenir’s unified platform future proofs your investment. It offers a complete solution for managing virtually any risk analytics and decisioning workflow such as loan origination, merchant onboarding, KYC/AML, credit risk decisioning, behavioral and predictive scoring and collection strategies.
Key Benefits

  • Make decisions in as little as milliseconds with risk analytics fully integrated in credit and lending processes
  • Simplify structured and unstructured data gathering using pre-built integration adapters
  • Improve compliance with risk models operationalized in decisioning processes
  • Achieve greater business agility with business-friendly configuration tools to create and change processes

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Provenir Announces its First Client in Colombia: Creci

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Provenir Announces its First Client in Colombia:
Creci

Provenir and Creci partner to drive lending innovation, agility and credit risk management to provide social impact companies with faster access to funding.

Miami, Florida – March 4, 2020 – Provenir, a leading risk analytics software company, today announced Creci as a new client. Creci is a Colombian-American Fintech specializing in providing credit to small businesses, both in Latin America and the United States, that generate social impact and are focused on achieving the Sustainable Development Objectives defined by the United Nations.

Creci—a new start-up based in Hollywood, Florida, with offices in Medellin—chose Provenir to meet all of its credit risk decisioning needs. With Provenir, Creci will approve loans instantly through its digital platform and operationalize risk models in real time using the integrations offered by Provenir, thus ensuring future business agility and growth.

Andres Idarraga, CEO and Co-Founder of Creci, explained, “In order to develop our own risk decision models and at the same time meet our goal of empowering small businesses that generate social impact, we needed to digitize our processes. So, we are happy to be working with Provenir, an industry-leading technology company that works on solutions for leading fintech and global financial institutions.”

“We are very excited to have Creci as our first Colombian client using Provenir’s innovative platform, it will help manage not only their real-time risk decision processes, but also ensure an openness to technology and a speedy market entry. Creci is a unique institution in its market, as it is 100% dedicated to financing projects with social impact. And, I am sure that the growth of innovative companies in Latin America, such as Creci, offers a huge opportunity for Provenir and our region,” said Gaston Peralta, Director of Business Development for Latin America.

Provenir offers a unique and innovative product to help small fintech companies control their credit risk and in turn powers the growth of SME and individual lending in Latin America. In addition, Provenir supports other financial institutions, such as banks and neo-banks, to manage their risk exposure using solutions that allows them to quickly and easily implement their own strategies and risk models. Which means, that businesses can focus on powering growth and providing a better experience for their users. “Provenir makes the same advanced and innovative technology used by leading global financial institutions available to our region” added Gaston Peralta.

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Global Roundup – Innovation in Financial Services 2019

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Global Roundup –
Innovation in Financial Services 2019

2019 has flown by, and even though it feels like we just welcomed in the new year, there’s less than two weeks to go until 2020! This year was incredibly exciting for the Provenir team as we expanded into Canada, opened offices in San Francisco and Miami, grew our Europe and Asia-Pacific teams, and extended our footprint in Latin America.

As a global company we love to learn about the industry trends and innovation opportunities our teams are witnessing in their respective regions. It’s a great chance to learn from regional trends and spot new innovation opportunities! So, we asked our team of sales executives from around the globe to share their answer to the following question:

What were the most exciting developments in the financial services/lending industry in 2019?

The Americas
Brendan Deakin, Sales Executive – Northeast US Region

The industry saw three key areas of innovation during 2019:

  1. The launch of Open Banking/API driven access to financial services is driving up innovation of, and consumer access to, personalized banking services vs. a historical one-size fits all/product penetration focus by most banks.
  2. More and more established players are committed to the digital channel like never before. This is being done to fight the competition from new FinTechs, which continued to grow in number throughout the year.
  3. AI and Data Science are taking hold, banks are looking to leverage the massive amounts of data they generate through customer interactions, product utility, etc. This is actually creating a new paradigm in the market, where banks can look to reduce their reliance on 3rd party vendors like Credit Bureaus in the future by leveraging all of the “on us” data on consumers. This will help them build better cross-sell and up-sell opportunities for existing customers while also building acquisition strategies based on these massive data sets.

Dominic Schaffer, VP of Sales – US West Region

The US will look back on 2019 as a landmark year for alternative data! In their recent statement the Federal Reserve Board, the Consumer Financial Protection Bureau, the Federal Deposit Insurance Corporation, the Office of the Comptroller of the Currency, and the National Credit Union Administration, announced support for the use of alternative data in credit underwriting. In summary, the agencies said that alternative data can:

  •  Improve the speed and accuracy of credit decisions
  • Help firms evaluate creditworthiness of people who might not be able to get credit in the traditional system
  • Help users get better pricing & terms

With the use of alternative data greenlit, when used in compliance with existing rules, lenders can explore a huge range of data to drive smarter decisioning. We’ve also seen a big focus on cash flow analysis—basically analyzing a user’s income and expenses over a period of time to figure out the borrower’s capacity to repay a loan.

Julie Mannella, Director of Sales – Canada

With the Canadian economy being driven by the consumer-first mindset 2019 saw increased pressure for businesses to deliver world-class user experiences. Consumers are demanding that their financial institutions deliver a frictionless, convenient digital experience. They want single-platform engagement and easier access to the products and services, with rapid delivery and value delivered for their money. This is leading organizations to rely on their IT team to drive transformation and innovation in more ways than ever before, putting a strain on these business units to deliver.

Gaston Peralta, Director of Business Development – Latin America

2019 was a big year for financial services in Latin America with an increase in venture capital and investments from large financial institutions into FinTechs is a highlight. Capital investments in startups and FinTechs are surpassing the 3 billion USD mark in Latin America alone. This kind of capital has never been seen before according to Andre Maciel from Softbank, which manages a 5 billion USD investment fund dedicated solely to Latin America. Maciel also claims that they have their mindset on 300 additional capital contributions to Fintechs in LATAM, with 200 of those in Brazil.

The expansion of nontraditional lenders, in the form of marketplace lenders, replacing banks for previously underserved markets, was also a key shift in the industry. Lenders are exploring the inclusion of Social Media to create financial identities and data from alternative sources has replaced the use of traditional credit scores to extend credit options into sub-prime and thin file markets.

Europe
Chris Kneen, Regional Sales Manager – United Kingdom

Over the last 3 years, there has been a surge in new challenger banks entering the UK market, set up to disrupt the sector and compete with the incumbents. This growth has accelerated in 2019 with Monzo, Starling Bank, and Revolut gaining a higher volume of customers. Setting up an account has become simple, fast and frictionless with innovative use of video identity verification.

2019 has also seen a second wave of challenger banks that are challenging the first breed including Tide, Bunq, Monese, Curve and Tandem. Natwest has also launched its standalone brand Bo to compete in this segment. Increased competition is great for innovation, but whilst the new challenger banks are gaining customers in impressive volumes, there’s a question around how many are switching their primary accounts. Monzo has 3 million UK customers, out of which, 1 million customers have fully committed to using a primary account. This 1 in 3 ratio will be something Monzo will be looking to improve on in 2020. Figures announced recently also show that only 14% of Curve’s 500,000 customers are ‘active users’.

Marcus von Rahden, Regional Manager – Central and Eastern Europe

Throughout 2019, the Central and Eastern Europe market has been fast-moving, with lots of innovation across the finance sector. There’s been continued investment and expansion in larger Fintechs including Numbrs, N26, Wefox, and Adyen. We’ve seen comparison platform Check24 apply for a banking license, several new mobile-first consumer and SME lenders launch to market and open banking payments solutions developed following the introduction of the PSD2 regulations.

Inigo Rodriguez Navarro, Regional Sales Manager – Iberia

2019 has seen many banks and lenders working hard to boost innovation following the introduction of the PSD2 payment regulations. Although there have been delays in publication of the technical standards the new regulations created an opportunity for disruption. Institutions such as BBVA have been leading the way in Spain, partnering with new FinTechs to create disruptive models through open APIs and platforms. The transition period is set to continue throughout 2020 when further technical requirements are rolled-out.

The Spanish FinTech ecosystem is growing tremendously and the sector generates over 5,000 jobs, which is set to double in 2020. The emergence of ID Finance, Bnext, and Pagantis shows the growing strength and diversity of the market, alongside the established banks.

Patrick Radise, Senior Sales Executive – Nordics and Baltics

Many new FinTech and startups entered the lending market across the Nordics and Baltics in 2019. They compete with better speed, technology, and lower cost/overhead. Klarna and iZettle have been great examples of payment businesses that have scaled their models globally in a rapid timeframe.

The use of automation and AI/ML grew. Many, especially in the Baltics already have automated consumer loan processes with many aiming for a 95% automation rate for consumer products and a slightly lower percentage for the B2B segment. Most banks are already using machine learning technology for areas like Anti Money Laundering, Fraud, and Customer Relationship Management, and exploring its use in lending processes.

Finally, there’s been an increased focus on Green loans, which are increasingly attracting Millennials and environmentally conscious people.

Asia-Pacific
Tim Kerslake, Account Director – Australia and New Zealand

For Australia, the most significant event in 2019 was the delivery of the final report of the Royal Commission into Banking (Feb 2019) and the subsequent consequences. Following the report, two of the region’s major banks—National Australia Bank and Westpac—had senior leadership changes, we’ve seen increased vigilance from the regulators ASIC and APRA, and there’s an increased focus on responsible lending practices.

Australia and New Zealand saw the continued rise of the Buy Now Pay Later segment both in terms of growth of transactions/value as well as the number of entrants. This sector is led by AfterPay which has commenced a global expansion. We also saw an announcement by Klarna that they will launch in Australia and an investment by Commonwealth Bank into Klarna.

Patrick Tan, Regional Sales Director – Singapore

Overall in 2019, the banking sector has been playing catch up with FinTechs by either using their technologies or collaborating with them. Banks are also increasingly investing in startups, hoping to catch the latest technologies and keep them close by.

2019 also saw a huge rise in mobile digital transactions, which helped drive an increase in mobile payment apps that facilitate the transfer of funds for purchases. For example, digital and mobile payments make up 30% of the FinTech industry in Thailand.

The potential for FinTechs to disrupt financial services is tremendous. Banks, who are slow to market and heavily regulated by central banks, have struggled to grow adoption of bank services in the region with only 27% of the adult population owning a bank account. 2019 saw FinTech companies, who are nimble and less impeded by regulations, tap into this lack of access to financial services with Grab and other similar tech companies venturing into the digital payments sector.


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Lost in translation—are risk model deployment challenges slowing you down?

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Lost in Translation—
are risk model deployment challenges slowing you down?

If they are, you’re not alone.

The recent Rexer Data Science Survey found that only 10-15% of companies “almost always” successfully deploy analytics models.

If your organization isn’t in that top 15%, you’re probably already feeling two things:

  1. Frustration caused by deployment delays
  2. Pressure from above to make it happen

The cost of delayed or failed deployment

So, before I get into the challenges preventing rapid deployment and how organizations can overcome these hurdles, let’s answer the bigger question… why should we care about model deployment rates?

There are many reasons why a business needs to be able to deploy a new risk model quickly and easily, but there are a few that really stand out in today’s digital-first world. Rapid deployment:

  1. Drives business growth—Analytics models are a key part of a risk strategy, they help drive business growth by making risk decisioning more accurate, which means more customers and lower default rates.
  2. Improves customer experience—Customers now expect instant everything, risk and analytics models help businesses make real-time decisions and gain customers in increasingly competitive markets
  3. Empowers competitive advantage—Companies that can test and deploy models quickly are able to make iterative changes to models using the most up-to-date data, making them better able to adapt to market demands.

Could you say that in Java, please?

One of the biggest reasons strategic analytics projects are often deployed late is the disconnection between the risk team and the development team.

The root of this developer-data scientist disconnection is that the two different groups literally don’t talk the same language. The modeling languages of choice for data scientists are generally Python, R (both open source languages), and the proprietary SAS. These are not usually the same languages preferred by developers, who favor Java, JavaScript, and variations of C such as C++.

So, typically data scientists create and test their analytics models—say a credit approval and verification application—using their languages. This work is then sent to the development teams, who then often spend a lot of time and costly effort recoding into their own languages so the model can be tested for security, compliance, impact on the infrastructure, and so on. Any changes that need be sent back to the data scientists for further review and approvals will kick off the same lengthy recoding processes, only in reverse.

The result? Fast time-to-market goes out the window. And if projects are deployed late enough, market conditions often will have changed so much that the reasons for deploying in the first place no longer exist, and the project is essentially dead on arrival.

Data delays

Another culprit in the model development and deployment process is the fact that data is very often located all over the organization in protected silos. This is particularly true in highly regulated industries like financial services, where security and privacy concerns meet compliance realities. Historical data may be found in one or more silos, and transactional and production data in others. Data scientists needing elements of all these data have to root around to find and gain access to it.

But that’s not all, the digitization of many types of data has led to a huge range of new data sources, many of which can be highly useful to data scientists when predicting credit risk or fraudulent activity. As each new data source emerges it needs to be integrated into the businesses decisioning solution if it’s to be utilized by analytics models.

While integrations should be simple, many organizations struggle with creating or updating data source integrations due to inflexible technology that requires extensive hardcoding. Each new data source included in a model can result in lengthy delays to model deployment as they need to be completed before the model can be fully tested and pushed to a live environment.

Say hello to your guide and translator: Platform technology

It’s fair to say that many of the delays to risk model deployment are caused by processes, not people. It’s also fair to say that the rapid advancement of technology has made it difficult to keep up with new analytics models to tackle an ever-evolving model. So, what can you do about it?

Well, what if your process problems caused by technology, like having to translate models from one language to another, or manually updating hardcoded integrations, could be solved by technology?

So, instead of your risk team creating a model in one language, then your dev team translating it into another language for your risk engine, you could opt for a model agnostic risk platform instead.

For data scientists and developers ‘talking different languages’, being model agnostic effectively removes the intermediate steps of recoding between the two different teams. Instead data scientists can upload their models directly in their native languages, which allows them to fully utilize new analytical techniques.

These types of platforms help prevent the loss of analytics models that never get deployed due to prolonged development and deployment cycles.

Technology can also be an effective solution for data integration challenges, which both fintechs and traditional financial institutions still struggle with as a result of hardcoded connections that are often built to serve a specific purpose at a specific time.

Today’s digital market requires businesses to be able to create agile technology that can be quickly updated or repurposed throughout an organization to meet many needs.

For optimum flexibility and business agility it’s essential that data integrations can be created, used, reused, and updated quickly and easily. Again, integrations have traditionally relied heavily on over-burdened dev teams for what should be simple adjustments. Instead of following these traditional integration processes businesses now have the opportunity to use technology that empowers business users to handle the integration mapping process.

This means that the risk team can be far less reliant on the dev team for ongoing adjustments as they can easily map source data into analytics models.

Gaining business agility through simplified model deployment processes

What this really comes down to is using technology to simplify business processes and empower people to do more. By using specialized software solutions that remove steps in the model deployment process and reduce the reliance on development your risk teams are able to focus on current problems and initiatives to drive business growth. They’re able to respond more quickly, make changes more easily and implement a risk strategy much more efficiently.

DATA INTEGRATION IN MINUTES

The Simple Solution to Integrating Structured and Unstructured Data Sources.

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