Vice President, Data Scientist – Credit Risk, Risk Insights - Chase 360
On-site · Columbus, Ohio, United States
Job Summary
Vice President, Data Scientist within Chase 360 Risk Insights leads end‐to‐end analytical work to surface emerging credit risks and influence credit strategy across Card, Auto, Home Lending, and Business Banking. Responsibilities include engineering attributes for credit models, designing advanced analytics to track portfolio trends, building dashboards and executive‐ready materials, conducting macro and payments trend research, partnering with data engineering and product teams to ensure scalable governance, and delivering rapid, data‐driven insights to senior Risk leaders.
Required Qualifications
- Advanced degree (MS preferred) in statistics, econometrics, or related quantitative field with minimum 7 years in risk management or quantitative roles; or BS with minimum 8 years relevant experience.
- Experience in consumer financial services with a focus on credit risk analytics and portfolio monitoring across the credit lifecycle.
- Strong Python proficiency (data wrangling, modeling, visualization, automation) and production‐grade code practices.
- Advanced SQL skills with proven ability to query, transform, and QC large, complex datasets from multiple sources.
- Demonstrated ability to build, maintain, and validate attributes/features for credit models and strategy execution.
- Track record of delivering time‐critical analytical reports/dashboards to senior stakeholders with clear, actionable insights.
- Strong quantitative problem‐solving, hypothesis‐driven analysis, and experimental design skills.
- Excellent communication skills, translating technical analyses into concise recommendations for leadership.
- Self‐starter with ownership mindset; proven ability to drive ambiguous problems to scalable solutions under tight timelines.
- Familiarity with integrating external data/publications and macro trends into credit risk assessments.
- Project management experience leading cross‐functional initiatives from scoping through delivery and adoption.
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