Senior Lead Structured Products VaR Quant
Wells Fargo
Senior Lead Structured Products VaR Quant
Job Description
About this roleWells 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 Agency and Non-Agency RMBS, Non-RMBS, 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.In this role, you willLead 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.Required Qualifications: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 education7+ 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 expectations7+ years of experience programming capability in Python, C++, or comparable production-oriented quantitative programming languagesDesired Qualifications:Master’s degree or PhD in mathematics, statistics, engineering, physics, economics, finance, computer science, or a related quantitative discipline7+ 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 analytics5+ years of structured products analytics experience, preferably across RMBS, Agency and Non-Agency mortgages, CMBS, CLO, ABS, CRT, CMO, ARMs, or related securitized productsDemonstrated 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 expectationsExperience 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 monitoringStrong 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 regulatorsJob Expectations:Ability to travel up to 10% of the timeMust be able to work on-siteThis position is eligible for Visa sponsorshipPosting Locations:150 E 42nd St. New York, NY 10017Additional Wells Fargo core/hub locations may be considered based on business needsPay Range Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.$215,000.00 - $355,000.00Benefits Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.Health benefits401(k) PlanPaid time offDisability benefitsLife insurance, critical illness insurance, and accident insuranceParental leaveCritical caregiving leaveDiscounts and savingsCommuter benefitsTuition reimbursementScholarships for dependent childrenAdoption reimbursementPosting End Date:26 Sep 2026*Job posting may come down early due to volume of applicants.We Value Equal OpportunityWells 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.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.Applicants with DisabilitiesTo 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.
Locations
- NY, NEW YORK
Skills Required
- production-quality mortgageintermediate
Required Qualifications
- 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 (experience, 7 years)
- 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 (experience, 7 years)
- 7+ years of experience programming capability in Python, C++, or comparable production-oriented quantitative programming languages (experience, 7 years)
- 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 (experience, 7 years)
- 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 (experience, 7 years)
- 7+ years of experience programming capability in Python, C++, or comparable production-oriented quantitative programming languages (experience, 7 years)
- Master’s degree or PhD in mathematics, statistics, engineering, physics, economics, finance, computer science, or a related quantitative discipline (degree in phd in mathematics)
- 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 (experience, 7 years)
- 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 (experience, 5 years)
- Demonstrated ability to work constructively across business, model development, model validation, risk management, and technology teams. (experience)
- 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)
- 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 (experience)
- 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 (experience)
- Master’s degree or PhD in mathematics, statistics, engineering, physics, economics, finance, computer science, or a related quantitative discipline (degree in phd in mathematics)
- 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 (experience, 7 years)
- 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 (experience, 5 years)
- Demonstrated ability to work constructively across business, model development, model validation, risk management, and technology teams. (experience)
- 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)
- 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 (experience)
- 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 (experience)
- a. Third-Party recordings are prohibited unless authorized by Wells Fargo. (experience)
- b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process. (experience)
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.
- 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.
Benefits
- general: Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.
- general: Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
- general: Health benefits
- general: 401(k) Plan
- general: Paid time off
- general: Disability benefits
- general: Life insurance, critical illness insurance, and accident insurance
- general: Parental leave
- general: Critical caregiving leave
- general: Discounts and savings
- general: Commuter benefits
- general: Tuition reimbursement
- general: Scholarships for dependent children
- general: Adoption reimbursement
Tags & Categories
Answer 10 quick questions to check your fit for Senior Lead Structured Products VaR Quant @ Wells Fargo.
10 Questions
~2 Minutes
Instant Score