Senior Mortgage Modeling Lead VaR Quant

Wells Fargo • Charlotte, NC

1d • Onsite

About The Position

Wells Fargo is seeking a Senior Lead Securities Quantitative Analytics Specialist (Executive Director) to join the Mortgage Modeling Development Center within the Investment Portfolio. This role will lead the development, enhancement, implementation, and production readiness of regulatory Value at Risk (VaR) and related market risk models for Structured Products, including RMBS, Agency and Non-Agency mortgage products, CMBS, CLO, ABS, CRT, CMO, ARMs, and other securitized products. The successful candidate will combine deep quantitative finance expertise, structured products modeling knowledge, and strong software engineering discipline to deliver regulator-defensible, scalable, and high-performance analytics used by trading, market risk, investment portfolio, mortgage servicing, model validation, and technology stakeholders.
The Wells Fargo Investment Portfolio (IP) manages the Company’s Available-For-Sale (AFS) and Held-To-Maturity (HTM) securities and loan portfolios, and the Reinsurance and Bank Owned Life Insurance (BOLI) businesses as part of the Finance group. IP also provides strategic and analytical balance sheet support to the bank, as well as a centralized, street-facing trade execution and hedging function and centralized mortgage modeling for the enterprise.

Requirements

• 7+ years of Securities Quantitative Analytics, Quantitative Analytics, market risk model development, structured products analytics, financial engineering, or equivalent experience demonstrated through work experience, training, military experience, or education
• 7+ years of experience developing, implementing, or enhancing regulatory VaR models and related market risk analytics for fixed income, mortgages, securitized products, or derivatives, with demonstrated understanding of Basel 2.5, Basel III / Basel 3.0, FRTB, back testing, P&L attribution, and model governance expectations
• 7+ years of experience programming capability in Python, C++, or comparable production-oriented quantitative programming languages

Nice To Haves

• Master’s degree or PhD in mathematics, statistics, engineering, physics, economics, finance, computer science, or a related quantitative discipline
• 7+ years of experience developing, implementing, validating, or supporting regulatory market risk models, including VaR, expected shortfall, stress testing, P&L attribution, pricing, OAS, or related risk analytics
• 5+ years of structured products analytics experience, preferably across RMBS, Agency and Non-Agency mortgages, CMBS, CLO, ABS, CRT, CMO, ARMs, or related securitized products
• Demonstrated ability to work constructively across business, model development, model validation, risk management, and technology teams.
• Deep understanding of Basel/FRTB market risk frameworks, regulatory VaR, backtesting, P&L attribution, empirical calibration, risk factor modeling, model monitoring, model governance, and validation expectations
• Experience building production-quality mortgage, securitized products, and risk analytics frameworks, including pricing, prepayment/default, spread, OAS, clean/hypothetical P&L, outlier surveillance, calibration, and model performance monitoring
• Strong senior-level communication, documentation, and leadership skills, with ability to explain complex models, assumptions, limitations, controls, and results to Trading, Risk, Technology, Model Validation, Audit, senior management, and regulators

Responsibilities

• Lead the design, development, implementation, back testing, benchmarking, and ongoing enhancement of regulatory VaR models and related risk analytics for structured products.
• Develop and enhance pricing, OAS, prepayment, default, spread, volatility, scenario, and risk sensitivity analytics that support VaR, stress testing, P&L attribution, model monitoring, and risk measurement.
• Analyze market data, pricing inputs, outliers, valuation uncertainty, risk factor coverage, proxy methodologies, model limitations, and back testing results to support defensible, structured products VaR models.
• Translate regulatory, model risk, and business requirements into quantitative specifications, model documentation, validation evidence, production controls, and monitoring frameworks for internal review and regulatory scrutiny.
• Partner with front office quants, Structured Products Trading Desks, Market Risk, Investment Portfolio, Mortgage Servicing, Model Risk Management, Finance, Technology, Audit, and senior leadership to deliver transparent, production-ready, and regulator-defensible modeling solutions.
• Serve as a senior technical advisor and thought leader on complex securities quantitative analytics, guiding model design choices, implementation priorities, issue resolution, long-term architecture, and communication of model assumptions, limitations, and results to senior stakeholders and regulators.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior