Banking

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Fintech

By David LaRoche

Over the past few years, we’ve helped financial institutions conduct due diligence before partnering or supporting a fintech that wants to enter the credit-card market.

Generally speaking, we advise them to consider the fintech’s experience in the credit industry, its pricing model, its ability to scale and grow – and whether the bank can help without exposing itself to unreasonable risk. We also recommend the bank consider the fintech’s technology and its ability (and willingness) to improve product offerings, increase efficiency, and lower costs.

We recommend the bank detail its expectations and take a project-based approach: Who needs to know what by when? A big early discussion: Share risks with the fintech partner and determine what each one does best and how they should present a united front to regulators and other outside organizations.

Here are five things we tell them to consider before we ever discuss helping them vet the fintech.

Is the fintech and its partners well capitalized. 

This is generally the threshold for most fintech’s to support the numerous operational investments needed to successfully launch a card portfolio.

Does the fintech have a strong affinity to its customer base, and does the card they are offering have a good value proposition? Affinity-card issuers such as the former MBNA America (now Bank of America) found that customers carrying the card of an organization, professional group, or alma mater were less likely to fall behind on payments or default on their loan either because of their demographics or because of a (misplaced) fear that the organization might find out.

In terms of the value proposition, the fintech may be able to offer something that the financial institution doesn’t. This includes:

  • New ways to assess creditworthiness (e.g., going beyond a credit score to offer banking products to those who might otherwise not qualify).
  • Products specifically designed for customers with low credit scores or no credit scores to help them build (or rebuild credit). These products often come with a higher APR or an annual fee to reduce risk to the institution.
  • Custom card rewards. This may get back to affinity, or it may involve other partnerships. There are probably no better examples than travel-rewards cards (miles tied to spending) and collegiate cards, particularly those offered through athletic departments that might offer access to tickets or other experiences.
  • Hybrid cards that combine a credit card with an installment loan that could include debt consolidation.
  • Cashback cards that can be used to save money on purchases, buy gift cards, or pay off balances.

Does the fintech bring any next-level technology to excite the customer base? This is one you can test by looking at their website or mobile app and during conversations about investments that might also reduce risk concerns:

  • Automated credit scoring and monitoring services, which are admittedly already offered fairly widely by people like Credit Karma and Experian.
  • Electronic invoicing and online customer portals, both of which can help financial institutions reduce late payments and mitigate credit risk.
  • Mobile payment apps such as Apple Pay or Google Pay that use tokenization to allow customers to pay without exposing their actual credit card account number.

Does the fintech plan to invest in critical infrastructure like compliance and data capabilities? There are three broad categories of risk in these types of partnerships:

  • Reputational, which occurs whenever any new product or service is introduced, regardless of whether it was developed in-house or by a third party.
  • Regulatory, which is likely a priority for any financial institution, particularly given (1) recent events and (2) the likelihood that it could be a long time before banking regulations are changed to address fintech products.
  • Unforeseen, fintech’s may have limited experience dealing with regulations and regulators. For banks, this risk can be avoided if you choose to partner with a more experienced fintech (or one that has leaders with experience in the credit card business).

If a Sponsor bank is involved, are there qualified people at the fintech to manage the relationship? As noted above, a LinkedIn search of top executives across operations, revenue generation, credit, and collections can answer this question, as can simply asking, “Who’s got credit card experience?”

Entering into a relationship with a fintech requires proper due diligence from stakeholders – or consultants – who understand the minefields, or at least some of the significant differences between the two of you. PAG can manage this process to ensure the partnership is optimized, compliant, and profitable before the final contract is signed and even afterward as results start coming in.

David LaRoche is the managing partner of U.S. operations for Predictive Analytics Group. Our proprietary GOBLIN enterprise data platform helps clients consolidate data from multiple legacy systems, overcome a lack of in-house advanced analytics experience, and identify new segmentation opportunities to improve portfolio growth and profitability.

Managing Partner of U.S. Operations

Mr. LaRoche is a resourceful, results-oriented Executive with over 25 years of financial services experience; emphasizing collections risk management, dialer operations, MIS and reporting analytics, acquisition strategies, loss forecasting, credit policy, account management strategies, portfolio conversions, due diligence, and collections operations management. He also has over 15 years of direct risk management experience, with 3 years of collections line management experience possessing excellent analytical skills and the ability to manage diverse groups in strategies, modeling, collections, dialer operations, loss forecasting/loan loss reserve modeling, financial analysis, operations and loss avoidance.

David started his career in 1997 as a customer service representative for Travelers Bank. Since then, he has held the following senior positions:

  • Director, US Operations for Bridgeforce Consulting
  • Sr. Director and Call Center Leader for American Express
  • SVP. Collections Strategy and IT leader for Washington Mutual

Chief Risk Officer

Dale Hoops has over 25 years of experience within the financial services industry, with a focus on Risk Management, Collections, Fraud, Account Management Strategies, Loss Forecasting, stress testing, and economic analysis.

Dale started her financial services career in 1996 as a part time customer service representative and teller in a small financial center while attending the University of Richmond. Her career has included senior roles at Bank of America, Citi, and MBNA America. She has experience with multiple retail products, including consumer and commercial cards, private label and co-brand, deposits, vehicle lending, mortgage, and home equity. Her key strengths have been identifying opportunities for improvement through business analysis, strategy development, and risk governance.

In addition to her professional career, Dale has extensive leadership experience with non-profits with event planning, policy, budget, and audit management. She is a member of the Board of Directors for the Girl Scouts of the Chesapeake Bay, which serves 8,000 girls in Delaware, Maryland, and Virginia. She is the former President, Vice President, and Treasurer at a local Parent-Teacher Association, former community pillar chair for Bank of America’s LEAD for Women Delaware network, and served on the leadership team for the Field of Dreams Relay for Life event to raise funds for the American Cancer Society.

Chief Data and Analytics Officer

Mr. Ridgeway has over 30 years of experience within the financial services industry, including Risk Management, Finance, Project Management, Compliance, MIS, IT & Operations. He has held senior roles at several of the top 5 Banks, including MBNA, Wells Fargo & Citibank. Dee has expertise in Risk oversight and a wealth of knowledge in the regulatory footprint (CFPB / OCC / FRB) in financial services. He has hands-on knowledge in the strategy world with numerous credit products including: credit cards, auto lending, mortgage and home equity, and unsecured lending. Dee is a co-founder of Predictive Analytics Group, worked as a Senior Consultant for Hoops Consulting, LLC., and owned & operated Mayflower Analytics LLC.

From a Risk Management perspective, Dee has experience in portfolio management in credit underwriting and loss mitigation during several growth cycles and economic contraction periods. He understands the needs and partners well with operational risk, modeling, and loss forecasting risk functions.

Dee is a SME on risk data strategy (data architecture, data management, and systems integration) and often creates a "passable bridge" between Risk and IT that translates business needs into executable business plans.

From an MIS, reporting, and portfolio analytics perspective, Dee has a proven track record of designing portfolio reporting that meets executive and end user needs that often have been labeled the "gold standard."

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CEO and Chief Strategy Officer

Mr. Hoops has over 25 years of experience within the financial services industry, including Credit Collections & Fraud Risk Management, Business Operations, Control &Compliance, Strategic Planning, Forecasting, and Marketing Analytics. He has served as a Chief Risk Officer for Barclaycard US Partnerships, a Global Scoring Head at Citibank, and a Site President for Wells Fargo Financial. Steve is a co-founder of Predictive Analytics Group and has owned & operated Hoops Consulting, LLC for the past 4 years.

Steve started his financial services career in 1993 as a part-time telemarketer while attending the University of Delaware for his Business Administration degree. Mr. Hoops has spent his 25-plus years within the industry building best-in-class operations with each company he has supported. His career has been highlighted by leading several large functions for several Tier 1 and Tier 2International Banks, including:

  • Credit Policy (CRO for $20B co-branded portfolio, Barclaycard US partnership)
  • Credit Policy (SVP for $28B retail Co-brand & Private Label portfolio, Citibank)
  • Loss Forecasting / Loan Loss Reserves ($30B Consumer portfolio, Citi-Financial)
  • Collections Risk Management ($70B Co-brand & Private label portfolios, Citibank)
  • Modeling ($30B Consumer Loan & sub-prime Mortgage portfolio, Citi-Financial)
  • Collection Operations (Head of 410 person operations center, $17B Auto, Personal Loan & Mortgage portfolio, Wells Fargo)
  • Credit Analytics (MBNA/Bank of America, Wells Fargo, Citibank)