Director Card Business Analytics

Merrick Bank•South Jordan, UT

1d•Hybrid

About The Position

Join our team and build your career with momentum as we champion your growth, elevate your ideas and engage you in purpose-driven work that makes a real difference every day. Who we are Founded in 1997, Merrick Bank is an FDIC®-insured financial institution headquartered in South Jordan, Utah, with over $10 billion in assets. A wholly owned subsidiary of CardWorks Financial Group, Merrick Bank serves roughly five million cardmembers and more than 100,000 merchant customers nationwide. What we do We provide credit cards, recreational loans, deposit accounts, merchant services and bank sponsorships to consumers and businesses. As a leader in non-prime lending and merchant acquiring, we combine innovative technology with data-driven insights to help underserved consumers build and strengthen credit while delivering integrated, scalable payment solutions for businesses. Merrick Bank ranks among the top 20 FDIC®-insured credit card issuers in the U.S. and among the top 15 merchant acquirers by transaction volume.

Requirements

Bachelor’s degree in Data Science, Mathematics, Statistics, or Economics.
Six (6) years’ experience as a Business Analyst, Risk Manager, Statistician, or similar occupation.
Four (4) years of the experience required above must be in the Credit Card Industry or Consumer Finance Industry.
Demonstrable knowledge of and prior experience in: Developing, designing, and executing credit strategies in near-prime or non-prime portfolios;
Risk-return optimization for credit strategies using advanced financial modeling NPV, DCF, and ROI;
Designing and implementing comprehensive risk management frameworks that align with regulatory standards and optimize portfolio performance;
Analyzing and optimizing unsecured credit portfolios, with a deep understanding of risk-reward tradeoffs, behavioral segmentation, and lifecycle dynamics unique to credit products;
Using statistical and mathematical concepts including probability, statistical inference, regression, and machine learning to develop credit strategies;
Working with large analytical datasets and utilizing analytical tools and languages SAS, SQL, Python, and Power BI to perform strategy design, segmentation, optimization, simulation, and reporting;
Collaborating cross-functionally with Marketing, Finance, Operations, and Technology teams to implement and govern analytics-driven strategies;
Developing and executing structured test-and-learn frameworks to monitor and refine treatment effectiveness;
Translating complex analytical findings into strategic recommendations for senior business stakeholders.

Nice To Haves

Master's degree in Data Science, Mathematics, Statistics, or Economics and four (4) years' experience as a Business Analyst, Risk Manager, Statistician, or similar occupation.

Responsibilities

Develop, design, and execute near-prime or non-prime portfolio credit strategies, including credit line increases, credit authorizations, and exposure reduction to optimize portfolio performance.
Leverage expertise in risk-return optimization for credit strategies using advanced financial modeling including NPV, DCF, and ROI.
Design and implement comprehensive risk management frameworks that align with regulatory standards and optimize portfolio performance.
Analyze and optimize unsecured credit portfolios, with understanding of risk-reward tradeoffs, behavioral segmentation, and lifecycle dynamics unique to credit products.
Develop credit strategies, using statistical and mathematical concepts including probability, statistical inference, regression, and machine learning.
Work with large analytical datasets and utilize analytical tools and languages SAS, SQL, Python, and Power BI to perform strategy design, segmentation, optimization, simulation, and reporting.
Collaborate cross-functionally with Marketing, Finance, Operations, and Technology teams to implement and govern analytics-driven strategies.
Develop and execute structured test-and-learn frameworks to monitor and refine treatment effectiveness.
Translate complex analytical findings into strategic recommendations for senior business stakeholders.
Direct cross-functional testing to evaluate credit treatments across customer segments, driving insights that lead to the development and enhancement of portfolio credit strategies.
Monitor portfolio trends and performance metrics to adjust credit strategies in response to macroeconomic shifts, competitive dynamics, and internal goals.
Serve as a key stakeholder in governance forums, contributing to policy reviews, compliance assessments, and strategic planning for credit risk management.
Maintain audit-ready documentation on strategy assumptions, treatment rationale, test design, and outcomes.
Supervise analysts, managers, contractors, and third-party resources supporting analytics, campaign selection, and reporting functions.