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Senior Decision Science, Risk Analytics Consultant
Wells Fargo. Support the financial valuation horizontal team within the Decision Science Valuation function by maintaining and deploying updated models using state-of-the-art technologies .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Risk Analytics, with a strong programming background in Python, SAS, and SQL, and a solid understanding of financial asset valuation and statistical modeling techniques. Capable of translating complex quantitative analyses into actionable business insights for senior stakeholders.
Highest-signal resume keywords
Risk Analytics ExperiencePython ProgrammingFinancial Asset ValuationStatistical Modeling TechniquesData Reconciliation
ATS Keywords
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Hard Skills
PythonSASSQLP&L ModelingStatistical ModelingData AggregationForecastingAnalytics ValidationPerformance ForecastingProfitability Modeling
Soft Skills
CollaborationMentoringProblem SolvingCommunication
Industry Keywords
Financial ValuationCredit Card StrategiesRisk SegmentationDecision ScienceModel Documentation
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Support the financial valuation horizontal team within the Decision Science Valuation function by maintaining and deploying updated models using state-of-the-art technologies
- Support the quarterly FAS107 existing portfolio financial asset valuation process
- Lead or participate in moderately complex initiatives and deliver insights and decision strategies within analytics and reporting
- Review and analyze moderately complex data aggregation, forecasting, reporting, and programming models
- Manage process production, data reconciliation, and model documentation in alignment with policy governance
- Resolve data, production, and business modeling issues and lead the team to meet Decision Science deliverables
- Collaborate with peers, experienced managers, compliance, and technology to resolve modeling, forecasting, and production issues
- Lead projects and teams and mentor less experienced staff
Requirements
What you’ll need- 4+ years of Risk Analytics experience, or equivalent demonstrated through work experience, training, military experience, or education
- Strong programming background using Python, SAS, and SQL
- Experience in financial cashflow and valuing assets
- P&L modeling experience
- Understanding of credit card strategies
- Experience with credit card portfolio analytics, risk segmentation, performance forecasting, or profitability modeling
- Strong understanding of statistical modeling techniques, model performance monitoring, and analytics validation practices
- Ability to translate complex quantitative analysis into clear business insights for senior stakeholders and cross-functional partners
- Experience working with large, complex datasets, including data reconciliation, quality controls, and documentation in a governed environment
- Willingness to work on-site at a stated location
- Must live within the location of the job posting
- This role does not allow for Visa sponsorship
Benefits
Comp & perks- Robust benefits
- Competitive compensation
- Work-life balance and well-being programs
- Community investment recognition
- Career growth and development opportunities
- Hybrid work schedule