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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in credit risk, loss forecasting, and pricing strategies within regulated financial services, utilizing advanced analytical skills in SAS and Python to drive strategic business decisions and enhance portfolio performance.
Highest-signal resume keywords
Credit Loss ForecastingPricing StrategiesAdvanced Analytical CapabilitySAS ProficiencyPython Proficiency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Analytics ExperienceStatistical ModelingData AnalysisHypothesis TestingRegression AnalysisMachine LearningFinancial AcumenPortfolio Risk DynamicsSQL ProficiencyPower BI Proficiency
Soft Skills
Verbal CommunicationWritten CommunicationProblem-SolvingDecision-Making
Tools & Technologies
SASPythonPower BITableau
Industry Keywords
Regulated Financial ServicesAuto LendingRisk ManagementBusiness InsightsMacroeconomic Conditions
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Develop and implement pricing loss estimation strategies and recommendations
- Measure, monitor, and improve returns on new originations
- Advise on complex analytical and modeling initiatives with Pricing, Risk, Finance, and Auto Lending stakeholders
- Analyze, validate, and enhance statistical models using large-scale data sets
- Generate actionable financial, risk, and business insights
- Provide subject matter expertise on pricing strategies, credit loss assumptions, data modeling, and risk exposure
- Monitor Auto portfolio loss performance and identify trends, risks, model limitations, and forecasting opportunities
- Partner with senior leaders and business stakeholders to influence strategic decisions
- Apply credit risk, loss forecasting, and risk-based pricing expertise in a regulated financial services environment
- Translate analyses, forecasting results, and statistical model outputs into recommendations using SAS and Python
- Develop business strategies driving growth, profitability, and competitive advantage for Wells Fargo
- Develop, test, analyze, and implement strategies aligned with macroeconomic conditions
- Collaborate with Tech, Product, Risk, and Operations teams to drive impact on products and initiatives
Requirements
What you’ll need- 5+ years of Analytics experience, or equivalent demonstrated through work experience, training, military experience, or education
- Experience with credit loss forecasting and pricing strategies within regulated financial services
- Experience setting enterprise-level assumptions impacting product pricing and profitability
- Advanced analytical capability using SAS and Python
- Strong financial acumen, including pricing P&L impact, margin trade-offs, and portfolio risk dynamics
- Proficiency with Power BI or Tableau
- Experience interpreting customer and operational data and translating insights into business recommendations
- Experience in auto lending or financial services
- Experience partnering with Risk, Finance, Audit, and Regulators in a highly regulated environment
- Understanding of hypothesis testing, regression analysis, and machine learning
- Proficiency in R, Python, SQL, and SAS
- Highly refined verbal and written communications
- Strong problem-solving and decision-making skills
- Willingness to work on-site at one of the stated locations
- Position is not eligible for Visa sponsorship
Benefits
Comp & perks- Relocation assistance is not available for this position
- Hybrid work schedule
- Equal opportunity employment
- Medical accommodation support during recruitment or interview process