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Tier-1 brand, metro location, mid-level generalist analytics title, broad skillset required.
Strong credit-card domain expertise required makes cross-industry transitions less transferable.
Explicit 5+ years plus many mandatory analytics, credit-domain, and tool proficiencies increases filter strictness.
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Lead and manage complex risk analytics initiatives related to credit card lifecycle processes including originations, collections, recoveries, payments, deferrals, and delinquency.
Direct data aggregation, monitoring, reporting of stress testing and portfolio analysis, and rollout of pilot programs from analytic models.
Collaborate with cross-functional teams to address regulatory, compliance, and business strategy challenges while mentoring and leading analytic teams.
Bachelor's degree in quantitative fields such as applied mathematics, statistics, engineering, finance, economics, econometrics, or computer sciences.
5+ years of progressive experience in credit card domain specifically in Recovery Strategy analytics development and related analytic roles.
Hands-on experience in at least one credit risk analytics area: credit strategy, modeling techniques, forecasting, or data architecture & management.
Proficiency in SAS, SQL, Excel VBA/macros, Tableau, and statistical/modeling tools (e.g., R, Python, E-miner). Work Experience Required: 5+ years risk analytics experience, especially in credit card domain.
Experienced in leading large, complex risk analytics projects within credit card businesses, influencing credit culture and business performance.
Strong ability to develop data-driven predictive models and monitoring frameworks to identify/manage risk and support portfolio planning.
Operates effectively in fast-paced, regulated environments with a focus on actionable insights, strategic decision-making, and cross-functional collaboration.