About the Role
Wells Fargo is seeking a Senior Lead Securities Quantitative Analytics Specialist (Executive Director) to lead the development, enhancement, implementation, and production readiness of regulatory Value at Risk (VaR) and related market risk models for Structured Products. This role requires deep quantitative finance expertise, structured products modeling knowledge, and strong software engineering discipline to deliver regulator-defensible, scalable, and high-performance analytics.
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.
- 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.
Requirements
- 7+ years of Securities Quantitative Analytics, Quantitative Analytics, market risk model development, structured products analytics, financial engineering, or equivalent experience.
- 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 programming capability in Python, C++, or comparable production-oriented quantitative programming languages.
Skills
- Structured products analytics
- Pricing
- OAS
- Prepayment
- Default
- Spread
- Volatility
- Scenario analysis
- Risk sensitivity analytics
- VaR modeling
- Stress testing
- P&L attribution
- Model monitoring
- Risk measurement
- Market data analysis
- Valuation uncertainty analysis
- Risk factor coverage
- Proxy methodologies
- Model limitations analysis
- Back testing
- Quantitative specifications
- Model documentation
- Validation evidence
- Production controls
- Monitoring frameworks
- Python
- C++
- Basel 2.5
- Basel III / Basel 3.0
- FRTB
- Model governance
- Expected shortfall
- Empirical calibration
- Risk factor modeling
- Model performance monitoring
- Communication skills
- Documentation skills
- Leadership skills
Location
- 150 E 42nd St. New York, NY 10017
- Additional Wells Fargo core/hub locations may be considered
Work Type
- On-site
- Full-time
Experience Level
- Senior Lead
- Executive Director
- 7+ years of experience
Education Level
- Master’s degree or PhD in mathematics, statistics, engineering, physics, economics, finance, computer science, or a related quantitative discipline
Salary/Compensations
- $215,000.00 - $355,000.00
Benefits
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
About the Company
- 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.
- Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company.
- They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions.
- There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.
Equal Opportunity
- Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
- Applicants with Disabilities: To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
- Drug and Alcohol Policy: Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
- Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
