Lead Risk Analytics Consultant ( Gen AI)
Wells Fargo (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead and manage complex risk analytics initiatives across credit card lifecycle processes including originations, collections, recoveries, and delinquency.
- Oversee development, deployment, and monitoring of predictive risk models, pilot programs, and stress testing with cross-functional impact.
- Make strategic decisions on credit product risk and compliance, mentor teams, and provide actionable insights for senior management reporting.
Minimum Requirements
- Minimum 5+ years of progressive Risk Analytics experience, especially in credit card domain focusing on Recovery Strategy analytics and credit risk modeling.
- Bachelor's degree in quantitative fields such as applied mathematics, statistics, engineering, finance, economics, econometrics, or computer science.
- Proficiency in programming/statistical tools: SAS, SQL, Excel VBA, Macros, Python, R, Tableau, SAS Visual Analytics; familiarity with data management in Oracle/Teradata.
- Strong understanding of credit risk domain including P&L and risk drivers; knowledge of advanced statistical and machine learning techniques.
Ideal Candidate Profile
- Experienced leader managing large-scale credit risk analytics projects with ability to work cross-functionally and influence business strategy.
- Strong technical expertise in credit risk modeling, forecasting, data architecture, and use of advanced analytics for risk monitoring and reporting.
- Capable of translating complex analytical findings into executable business strategies under dynamic, compliance-driven environments.