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Author: Amy Sariego

Provenir Named 2022 Fintech Innovator of the Year Finalist by the Canadian Lenders Association

NEWS

Provenir Named 2022 Fintech Innovator of the Year Finalist by the Canadian Lenders Association

The AI-powered risk decisioning provider is among an esteemed short list of vendors honored for excellence in the category in the organization’s Leaders in Lending Awards

Parsippany, NJ — March 31, 2022 — Provenir, a global leader in AI-powered risk decisioning software for the fintech industry, today announced that it is a finalist in the “Fintech Innovator of the Year” category for the 2022 Leaders in Lending Awards by the Canadian Lenders Association (CLA).

CLA is the voice of Canada’s lending ecosystem, representing over 100 companies in commercial and consumer lending. The “Fintech Innovator of the Year” award celebrates fintech enablers that power the lending industry and help credit providers achieve incredible scale and meet the needs of millions of everyday Canadian consumers and businesses.

Award winners are determined by the use of technology to solve problems and drive efficiencies throughout the lending industry, implementation of new or innovative lending strategies and business models, and positive outcomes following successful implementations of a new technology or business model.

“Provenir is honored to be named a finalist as fintech innovator of the year by the Canadian Lenders Association and is proud to serve Canadian lenders with their risk-decisioning needs to better serve their clients,” said Kathy Stares, Executive Vice President of the Americas at Provenir. “Accurate credit risk modelling is top of mind for the lending community and this recognition serves as a testament to Provenir’s commitment of delivering new and innovative solutions that meet their needs and enhance the overall customer experience.”

Provenir’s industry-leading AI-Powered Decisioning Platform is data-fueled and AI-driven for smarter risk decisioning. It is comprised of three essential components that enable financial institutions to rapidly overcome the challenges that hold them back – data integration, AI deployment and decisioning automation. The solution empowers fintechs and financial services organizations to unlock the true value of data, combining universal data access with simplified artificial intelligence (AI) and automated, real-time decisioning. With data more accessible and usable than before, financial institutions can automate complex decisions that drive world class customer experiences, addressing identify, credit and fraud for quicker onboarding and serving.

The Ultimate Guide to Decision Engines

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HooYu

Partners

HooYu

HooYu – KYC and Customer Onboarding Platform

Key Benefits

  • Making the KYC Journey Smarter for Customers. HooYu combines UI & UX features with a range of KYC tools. Dynamic customer prompts, device language detection, reminders, customization, and customized journeys all help to maximize the success of customer onboarding journeys.
  • Prevent fraud with powerful identity technology. HooYu seamlessly blends a range of identity verification tools to check that there is no fraudster hiding behind the transaction.

“HooYu has created the best possible KYC process when customer documentation verification is required.”

BetFred

The Completely Configurable Customer Onboarding Journey

HooYu is a global customer on-boarding platform that provides UI & UX tools to deliver customized mobile or desktop digital journeys. HooYu is engineered not only to increase the integrity of KYC processes but to maximize the percentage of customers that can be successfully on-boarded. We are the first identity platform to blend ID document validation, digital footprint analysis, geo-location and facial biometrics with traditional database checks and PEPS & sanctions screening. 

About HooYu

  • Products

    • Digital customer onboarding journey UI & UX  
    • KYC orchestration 
    • ID document validation
    • Facial biometrics
    • Database checks
    • PEPs & Sanctions checks
    • Identity confidence scoring
  • Regions Supported

    • Global

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Global Data Consortium

Partners

Global Data Consortium

Global Data Consortium

Key Benefits

  • Electronic Identity Verification. eIDV uses personal information such as name, date of birth, or national ID from various data sources to quickly confirm if an individual is who they claim to be.
  • Know Your Business. Our KYB solution offers three levels of checks with varying degrees of verification to allow your business to retrieve the necessary information for onboarding, partnerships, beneficial owner checks, or more.

“One of the biggest things we love about GDC’s team is their flexibility. They worked to add new data sources to ensure we got the highest match rates possible.”

REMITLY

About Global Data Consortium

Global Data Consortium is a data-as-a-service company that delivers real-time, locally sourced identity and business verification for financial institutions, age restricted services, ecommerce, regtechs, and more around the globe. 

From swift customer and business identification for online account opening to identity verification for global money transfer to verifying ages for online gaming and age-restricted commerce, our local data providers reach deep into their markets to find unexpected sources of identity information, confirming anyone from thin-file clients to prominent persons of interest. Beyond the product itself, our Consortium of data providers, channel partners, and customers supply a continuous flow of knowledge and meaningful connection.

Resources

About Global Data Consortium

  • Products

    • KYC Electronic Identity Verification (AML Compliance Check, PEP/Watchlist/Sanctions Check, Intelligent Name Translation Engine)
    • Business Verification 
    • Know Your Business Check
    • Owners, Directors, and Officers Check
  • Countries Supported

    Argentina, Australia, Austria, Belgium, Brazil, Canada, Denmark, France, Germany, India, Italy, Mexico, Netherlands, New Zealand, Norway, Singapore, South Africa, Spain, Sweden, Switzerland, Turkey, United Kingdom, United States, Czech Republic, Finland, Ghana, Gibraltar, Hong Kong, Ireland, Japan, Luxembourg, Malaysia, Nigeria, Poland, Portugal, Slovakia, Bahrain, Chile, Colombia, Costa Rica, Ecuador, Egypt, Greece, Hungary, Indonesia, Jordan, Kenya, Kuwait, Lebanon, Malta, Oman, Panama, Paraguay, Peru, Phillipines, Qatar, Romania, Russia Federation, Saudi Arabia, Slovenia,United Arab Emirates,  Uruguay, Venezuela, Vietnam

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Event: Transforming Credit Decisioning with AI

ON-DEMAND WEBINAR

Transforming Credit Decisioning
With Artificial Intelligence

Book a Meeting

How can AI-powered risk decisioning play a part in transforming the entire credit risk decisioning process? Technology continues to evolve and advances in big data, digital transformation, and AI/ML are creating new opportunities for financial services and fintechs to improve their credit decisioning processes.

Join us for this exciting panel discussion moderated by FinTech Magazine and hear from industry experts on using AI/ML to transform credit risk decisioning.

You’ll learn:

  • Opportunities and challenges in using AI for risk decisioning
  • How to set up AI projects for success
  • Ways that AI can impact the entire customer lifecycle
  • How to power financial inclusion with alternative data and advanced analytics

Speakers:

  • Bharath Vellore

    General Manager, APAC, Provenir

  • Thai Dinh

    Head of Data Science and AI, PayMaya

  • Tom Donlea

    Vice President, APAC, Ekata

Moderator:

Scott Birch

Chief Content Officer, FinTech Magazine


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Provenir Awarded “Data Solution of the Year for Finance” in 2022 Data Breakthrough Awards Program

NEWS

Provenir Awarded “Data Solution of the Year for Finance”
in 2022 Data Breakthrough Awards Program

Prestigious International Awards Program Recognizes Outstanding Data Technology Products and Companies

PARSIPPANY, N.J., March 24, 2022 – Provenir, a global leader in AI-powered risk decisioning software, today announced that it has been selected as the winner of the “Data Solution of the Year for Finance” award in the 3rd annual Data Breakthrough Awards program conducted by Data Breakthrough, an independent market intelligence organization that recognizes the top companies, technologies and products in the global data technology market today.

Provenir’s industry-leading AI-Powered Decisioning Platform is data-fueled and AI-driven for smarter risk decisioning. The solution empowers fintechs and financial services organizations to unlock the true value of data, combining simplified data access with accessible artificial intelligence (AI) and automated, real-time decisioning. Provenir’s AI-Powered Decisioning Platform is comprised of three essential components that enable financial institutions to rapidly overcome the challenges that hold them back – data integration, AI deployment and decisioning automation.

  • Data Cloud + Marketplace – the fintech data and intelligence ecosystem – The Provenir Marketplace is a comprehensive fintech data and intelligence ecosystem covering the whole customer lifecycle with data types like identification, document verification, open banking, PEPs/sanctions, business data, bureau data, mobile data, email data, device data, social validation, and alternative data covering 350+ behaviors. Users can select from more than 535 country/data/partner combinations through the Provenir Marketplace’s single API to create rich, customized datasets that best meet their needs.
  • Provenir AI – simplified AI for smarter decisioning – Provenir AI is a purpose-built solution that lets businesses automate the development, selection, deployment, and retraining of models. Fed by data from the Marketplace and real-time decisioning performance, Provenir AI uncovers insights and patterns in data that inform and retrain models in real-time, allowing organizations to make more accurate decisions than ever before while managing bias.
  • Decisioning Cloud – make smarter decisions, faster – Decisioning is where the true value of data is uncovered, where data is unified with automated decisioning and AI to enable fintechs and financial services organizations to make more informed decisions, faster across the customer lifecycle. With data more accessible and usable than before, financial institutions can automate complex decisions that drive world class customer experiences, addressing identify, credit and fraud for quicker onboarding and serving.

“We are honored to be recognized by Data Breakthrough as “Data Solution of the Year for Finance” in this year’s awards program,” said Larry Smith, CEO and Founder of Provenir. “We’ve taken a complex challenge and created a simple solution that empowers organizations to push the boundaries of what’s possible with universal access to data, simplified AI and world-class decisioning technology to provide real-time, accessible financial services to individuals and companies across the globe.”

“Provenir’s concept of data fueled, AI-driven risk decisioning is helping fintechs and financial services make smarter decisions faster by simplifying the end-to-end decisioning process,” said James Johnson, Managing Director, Data Breakthrough. “The Company makes it fast and easy to unlock the value of data to make smarter decisions and minimize risk. Provenir’s “breakthrough” solution delivers comprehensive data, AI and decisioning – all in one single platform – helping organizations provide the real-time decisioning customers demand today. We extend our sincere congratulations to Provenir on winning our ‘Data Solution of the Year for Finance’ award.”

About Data Breakthrough

Part of the Tech Breakthrough organization, a leading global provider of market intelligence and recognition platforms for technology innovation and leadership, the Data Breakthrough Awards program is devoted to honoring innovation and market disruption in data technologies, services, companies and products. The global Data Breakthrough Awards program provides a forum for public recognition around the achievements of data companies and solutions in categories including data analytics, management, infrastructure and hardware, storage, Business Intelligence and more. For more information visit DataBreakthroughAwards.com.

The Ultimate Guide to Decision Engines

What is a decision engine and how does it help your business processes?

Learn More


LATEST NEWS

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Spring Labs

Partners

Spring Labs

Quantify Future Employment Risk with Income Stability Indicators

Key Benefits

  • Real-time indicators of micro and macroeconomic changes. Spring’s Employer, Geography and Industry (EGI) level future employment risk indicators allow lenders to systematically adjust underwriting in a dynamic economic environment, addressing key gaps in backward-looking credit scores.
  • Orthogonal data to optimize lending decisions. Spring’s Proprietary Entity Resolver makes previously siloed EGI level data accessible for real-time use in underwriting. Data sources include public records, third party APIs, 37M+ US business records for entity resolution, and firmographic data.

“ISI helps us identify blind spots in our existing models as well as safely serve new segments.”

DIRECTOR OF RISK FOR A LARGE, ONLINE, UNSECURED LENDER

Close Major Blind Spots With Real-Time Insights

pring Labs’ Income Stability Indicators (ISI) aggregates a vast array of data sources at the Employer, Geography and Industry levels to provide a more comprehensive risk profile. ISI data allow lenders to combine real time economic insight with traditional credit data

  • Use ISI for loss mitigation or growth, systematically adjusting score cutoffs, credit line assignment and pricing
  • Improve custom credit or fraud risk scores by including 300+ data fields as model inputs
  • Increase acquisition or portfolio marketing campaign effectiveness and ROI by targeting growing industries or geographies

Don’t leave blind spots in your underwriting – learn how ISI can help strategically grow your portfolio.

Resources

About Spring Labs

  • Services

    • Proprietary employer and industry resolution
    • 300+ micro and macroeconomic indicators
    • Employer, Geography and Industry Risk Indices
    • Additional income underwriting products on Income Misrepresentation and Peer Lender Verified Income / Employment
  • Countries Supported

    • United States

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Machine Learning in Banks: The Solution to the Data Scientist Talent Gap

BLOG

Machine Learning in Banks:
The Solution to the Data Scientist Talent Gap

In 2023, the shortage of skilled data scientists is still a challenge for financial institutions. According to Indeed.com, the popular recruiting site, searching for “Data Scientist Financial Services” returns 1745 results. McKinsey & Company studied over a dozen banks in Europe that have replaced older statistical-modeling approaches with machine-learning techniques and saw significant improvements in their business metrics.

The Talent Gap Challenge:

With the increasing importance of data analytics in banking, the shortage of skilled data scientists is becoming increasingly serious. Tools for collecting, sifting, and sorting data become faster, cheaper, and better, but people with the skills to make use of the results are harder and harder to find.

Cloud-Based Machine Learning Services:

Cloud-based machine learning services can help fill the talent gap by opening up opportunities for junior or internal hires to augment risk analytics teams, provide immediate value, and grow into more advanced roles. Machine Learning can train and deploy a credit risk model in about 20 minutes, even by someone with little to no experience.

Benefits of Machine Learning:

Machine learning is not just a temporary solution to a talent problem. McKinsey & Company’s study of European banks revealed increases in sales of new products, savings in capital expenditures, increases in cash collections, and declines in churn after replacing older statistical-modeling approaches with machine-learning techniques.

Automated Risk Decisioning:

Combining machine learning with automated risk decisioning can prove invaluable to a financial institution’s bottom line. Automated risk decisioning helps make better credit decisions and improves overall portfolio performance.

Machine learning is the solution to the data scientist talent gap in the banking industry. Cloud-based machine learning services can provide immediate value and help junior or internal hires grow into more advanced roles. The benefits of machine learning are significant and can positively impact a financial institution’s bottom line.


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Finovate Europe Fireside Chat – Luke Seaman, Klarna and Carol Hamilton, Provenir

ON-DEMAND WEBINAR

Finovate Europe Fireside Chat:
Luke Seaman, Klarna and Carol Hamilton, Provenir

Book a Meeting

We were pleased to sponsor and participate in Finovate Europe this March. Prior to the big event, we sat down with Luke Seaman, Head of Public Affairs at Klarna.

Watch his discussion with Carol Hamilton, Provenir’s SVP of Global Solutions, where they chat all things BNPL, AI and its role in risk decisioning, and all the fun at Finovate Europe!

Speakers:

  • Luke Seaman

    Head of Public Affairs, Klarna

  • Carol Hamilton

    Chief Product Officer, Provenir


RESOURCES

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Finovate Europe Fireside Chat – Luke Seaman, Klarna & Carol Hamilton, Provenir

ON-DEMAND WEBINAR

Finovate Europe Fireside Chat:
Luke Seaman, Klarna and Carol Hamilton, Provenir

Book a Meeting

We were pleased to sponsor and participate in Finovate Europe this March. Prior to the big event, we sat down with Luke Seaman, Head of Public Affairs at Klarna.

Watch his discussion with Carol Hamilton, Provenir’s SVP of Global Solutions, where they chat all things BNPL, AI and its role in risk decisioning, and all the fun at Finovate Europe!

Speakers:

  • Luke Seaman

    Head of Public Affairs, Klarna

  • Carol Hamilton

    Credit Product Officer, Provenir


RESOURCES

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