Senior Lead Securities Quantitative Analytics Specialist, Mortgage & RMBS Modeling

Wells Fargo•Charlotte, NC

1d•$215,000 - $355,000•Hybrid

About The Position

Wells Fargo is seeking a Senior Lead Securities Quantitative Analytics Specialist to lead quantitative modeling focused on residential mortgages and non-agency RMBS. The role leads research, development, implementation, and ongoing enhancement of loan- and pool-level models for prepayment, delinquency, default, cure, liquidation, recovery, and loss severity. It calls for deep expertise in mortgage borrower behavior, residential credit performance, securitization structures, cash-flow modeling, and mortgage valuation, as well as hands-on experience with large-scale mortgage datasets and industry platforms. The specialist translates collateral behavior into forecasts of cash flows, valuation, and risk. The role includes empirical research, dataset development, statistical and quantitative modeling, RMBS cash-flow and valuation analysis, model testing and monitoring, documentation, governance support, and collaboration with trading, portfolio management, risk management, and other stakeholders. The position also provides technical leadership, establishes modeling standards, reviews quantitative work, and mentors less experienced team members. The position currently offers a hybrid work schedule, with willingness to work on-site at the stated location. It is subject to FINRA background screening and ongoing regulatory requirements, and may be subject to compliance policies regarding outside activities and personal investing. The posted base pay range is $215,000 to $355,000, and employees may also be eligible for incentive opportunities.

Requirements

7+ years of Securities Quantitative Analytics experience, or equivalent demonstrated through work experience, training, military experience, education, or a combination thereof.
Willingness to work on-site at the stated location; the position currently offers a hybrid work schedule.
Successful completion and clearing of a FINRA background check and compliance with applicable ongoing regulatory requirements.
Meet applicable policies regarding outside activities and/or personal investing, including providing information to the Wells Fargo Personal Account Dealing Team if hired and affected.

Nice To Haves

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 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.

Responsibilities

Lead 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 loan-level, servicing, property, transaction, and macroeconomic data.
Build and maintain model-ready datasets using industry and internal mortgage data; evaluate data quality, coverage, representativeness, and historical performance.
Apply statistical, econometric, machine-learning, and cash-flow modeling techniques to mortgage data and deal 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 limitations and recommend enhancements or remediation.
Develop model documentation covering methodology, assumptions, data, estimation, testing, limitations, and intended use; provide quantitative support for model validation, governance, audit, and regulatory review.
Partner with traders, portfolio managers, risk managers, and senior stakeholders on pricing, relative-value analysis, portfolio management, forecasting, and risk management.
Monitor mortgage markets and developments in borrower behavior, housing, interest rates, origination, servicing, and securitization, and assess implications for model performance, valuation, and portfolio decisions.
Provide technical leadership, establish modeling standards, review quantitative work, and mentor less experienced team members.
Follow applicable risk programs, Wells Fargo policies and procedures, and risk and compliance obligations; escalate and remediate issues as appropriate.
Work on-site at the stated location as required by the job expectations.