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Senior Manager Risk Analytics, Card Decision Science

LinkedIn Wells Fargo Wilmington, DE
Mid-Senior level Posted March 26, 2026 Job link
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Requirements
  • 7+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 3+ years of management or leadership experience
  • Prior experience leading and developing technical, analytics, or statistical modeling teams
Preferred Skills
  • Prior experience leading and developing technical, analytics, or statistical modeling teams
  • Background in unsecured lending, with credit card experience strongly preferred, and deep understanding of credit risk drivers across products such as personal loans, auto, or mortgage
  • Deep experience supporting Direct Mail strategy for credit cards, including prescreen workflows, credit bureau data, and customer targeting
  • Expertise with financial valuation and cash-flow analysis, including NPV/CLV frameworks
  • Experience developing or supporting credit card strategies such as originations, line strategies, balance transfers, product upgrades, and retention
  • Experience working directly with credit bureau data and partnering with vendors such as Axiom, Experian, and MarketSwitch
  • Programming expertise in SAS and Python for data analysis, modeling, and valuation and strategy development
  • Demonstrated success optimizing large-scale marketing budgets and evaluating ROI for acquisition programs
  • Knowledge of credit underwriting, targeting frameworks, and acquisition funnel dynamics
  • Business development or portfolio valuation experience, including assessing partnership or cobrand opportunities
  • Graduate degree in statistics, economics, mathematics, engineering, or MBA with a quantitative focus
  • Executive-level communication skills with the ability to evaluate complex analytical outputs, synthesize key insights, and present well-reasoned recommendations that influence high-impact business decisions
Education
  • (Not required) – Graduate degree in statistics, economics, mathematics, engineering, or MBA with a quantitative focus