fintech credit card relational database
Case Studies, Data Warehousing, Fintech, GOBLIN, Underwriting Strategies
Challenge:

One of PAG’s clients – a medium-sized fintech with a long history of customer loyalty – wanted to enter the U.S. card market to leverage its strong customer relationships. The client also had good data history on their customers through its non-card products, but it was in multiple legacy systems and the data was not designed to be migrated from one system to another. The Client also did not have an internal data warehouse to store all of its data nor did it have internal Risk expertise to merge data and build the strategies and reporting packages it needed to monitor a credit card portfolio.

PAG Solution:

PAG was asked to evaluate the fintech’s data streams and infrastructure and determine how it could take advantage of its rich data history.  PAG identified four major system feeds that contained valuable data and had customer-identifying data to unify that data.  PAG used its GOBLIN enterprise data platform to automate the four data streams into one relational database.

PAG merged the data sets into a series of unique tables that are now available each day for querying.  PAG then built an initial underwriting strategy, merging the Client’s existing relationship data with PAG’s 30M-record bureau data set. That allowed us to build detailed performance and profitability models. After getting approval on the underwriting strategy from the Client and its sponsor bank, PAG built a robust set of monitoring reports and automated their delivery through GOBLIN so the Client now starts each day reviewing the performance of its new card portfolio and making decisions to run its business more effectively.

Client Benefits:
  1. PAG merged all four data streams into a relational database that is ready for querying each day by the Client or PAG by 4 a.m.
  2. PAG helped architect the data environment on the new cards being booked so their data from a third-party provider is also streamed into GOBLIN and available for querying and merging back to the original relational data streams.
  3. The underwriting model PAG built passed a regulatory audit and has exceeded Year 1 growth targets by 5% while coming in 10% lower on Year 1 loss targets.
  4. PAG supported interviews of Risk personnel for the Client, which now has a small team that is creating monthly dashboards and executive presentations for senior management.
  5. PAG was recently rehired to build new Credit Line Increase, Authorizations, and Card Reissue strategies in conjunction with the Client’s new Risk Team.

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)