About this role:
Wells Fargo is seeking a Senior Lead Securities Quantitative Analytics Specialist to lead quantitative modeling focused on residential mortgage and non-agency RMBS.
This position is responsible to lead the research, development, implementation, and ongoing enhancement of loan- and pool-level prepayment, delinquency, default, cure, liquidation, recovery, and loss severity models.
The successful candidate will bring deep expertise in mortgage borrower behavior, residential credit performance, securitization structures, cash-flow modeling, and mortgage valuation.
The role requires hands-on experience working with large-scale mortgage datasets and industry platforms such as Loan Performance, McDash, Intex, 1010data, and agency credit risk transfer data, along with the ability to translate collateral behavior into robust forecasts of cash flows, valuation, and risk.
In this role, you will:
- Lead the research, design, development, calibration, and enhancement of loan- and pool-level mortgage models, including prepayment, delinquency transition, cure, default, liquidation, recovery, and loss severity models.
- Conduct empirical research on borrower behavior and mortgage credit performance using large-scale loan-level, servicing, property, transaction, and macroeconomic data.
- Build and maintain model-ready datasets using industry and internal mortgage data, evaluating data quality, coverage, representativeness, and historical performance.
- Apply statistical, econometric, machine learning, and cash-flow modeling techniques to capture refinancing incentives, credit migration, housing and interest-rate conditions, loan characteristics, servicing behavior, and deal-specific features.
- Translate collateral-level projections into RMBS cash flows, valuation, option-adjusted spread, risk measures, scenario analysis, and stress-testing results.
- Perform model back-testing, benchmarking, sensitivity and stability analysis, and ongoing performance monitoring; identify model limitations and recommend appropriate model enhancements or remediation.
- Develop clear model documentation covering methodology, assumptions, data, estimation, testing, limitations, and intended use, and provide quantitative support through model validation, governance, audit, and regulatory review.
- Partner with traders, portfolio managers, risk managers, and other senior stakeholders to apply mortgage models to pricing, relative-value analysis, portfolio management, forecasting, and risk management.
- Monitor developments in mortgage markets, borrower behavior, housing, interest rates, origination, servicing, and securitization, and assess their implications for model performance, valuation, and portfolio decisions.
- Provide technical leadership, establish sound modeling standards, review quantitative work, and mentor less experienced team members.
Required Qualifications:
- 7+ years of Securities Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
- 7+ years of experience developing mortgage securities, prepayment, default, credit, or other residential mortgage behavioral models, with deep knowledge of RMBS and mortgage collateral performance.
- Master’s degree or Ph.D. in mathematics, statistics, physics, engineering, computer science, quantitative finance, economics, or another highly quantitative discipline.
- Strong understanding of residential mortgage products, securitization structures, waterfall mechanics, mortgage cash flows, pricing, valuation, and OAS analytics.
- Demonstrated experience working with large-scale mortgage datasets and platforms such as 1010data, eMBS, Loan Performance, CoreLogic, McDash, and Intex.
- Strong knowledge of statistics, econometrics, financial mathematics, Monte Carlo simulation, and mortgage analytics.
- Advanced programming and data-analysis experience using Python and SQL; experience with C++ or VBA is a plus.
- Experience developing, calibrating, back-testing, monitoring, and documenting quantitative models through the model development lifecycle.
- Experience supporting trading, portfolio management, securitization, mortgage investing, valuation, or risk-management functions.
- Ability to translate complex quantitative concepts and model results for quants, technology partners, senior management, and business stakeholders.
- Demonstrated ability to provide technical leadership, review quantitative work, and coach or mentor other quantitative professionals.
Job Expectations:
- Willingness to work on-site at stated location on the job opening
- This position currently offers a hybrid work schedule
Pay 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 - $355,000.00
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit for an overview of the following benefit plans and programs offered to employees.
- 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
Posting End Date:
3 Nov 2026
*Job posting may come down early due to volume of applicants.
