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Senior Lead Analytics Consultant – Auto Pricing
Wells Fargo. Lead development, implementation, and management of credit scorecards, collection and recovery models, and loss forecasting models .
Tech Stack
Tools & technologiesPythonTableau
About the role
Key responsibilities & impact- Lead development, implementation, and management of credit scorecards, collection and recovery models, and loss forecasting models
- Lead complex analytical and modeling initiatives across Pricing, Risk, Finance, and Auto Lending operations
- Review, analyze, and enhance statistical models and programming solutions using large-scale data sets
- Generate actionable financial, risk, and business insights for strategic decision-making
- Influence pricing strategies, credit loss assumptions, data modeling, and risk exposure decisions
- Monitor and interpret Auto portfolio loss performance
- Identify emerging trends, risks, model limitations, and opportunities to improve forecasting accuracy
- Advise senior leadership on innovative analytical solutions with enterprise-wide implications
- Apply credit risk, loss forecasting, and risk-based pricing expertise to influence origination and servicing strategies
- Translate complex analyses and statistical models into actionable insights and strategic recommendations using SAS and Python
Requirements
What you’ll need- 7+ years of Analytics, Reporting, Financial Modeling or Statistics experience, or equivalent demonstrated through work experience, training, military experience, or education
- Expertise in credit scoring, loss forecasting, and pricing strategies within regulated financial services
- Expertise in SAS and/or Python
- Expertise in statistical and advanced analytics techniques, including hypothesis testing, regression analysis, and machine learning
- Strong financial acumen, including pricing P&L impact, margin trade-offs, and portfolio risk dynamics
- Strong proficiency in Tableau and Power BI
- Experience building scalable dashboards, KPIs, scorecards, and data visualization solutions
- Experience interpreting customer and operational data and translating insights into business recommendations
- Experience in auto lending or financial services
- Experience operating in a highly regulated environment with Risk, Finance, Audit, and Regulators
- Expert analytical skills with high attention to detail and data quality
- Willingness to work on-site at one of the stated locations
- Relocation assistance is not available
Benefits
Comp & perks- Robust benefits
- Competitive compensation
- Programs designed to support work-life balance and well-being
- Community investment recognition
- Career growth opportunities
- Hybrid work schedule