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About the 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 for leading 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.

Responsibilities

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.

Requirements

7+ years of Securities Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
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.
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.

Skills

Quantitative modeling
Residential mortgage
Non-agency RMBS
Prepayment models
Delinquency models
Default models
Cure models
Liquidation models
Loss severity models
Mortgage borrower behavior
Residential credit performance
Securitization structures
Cash-flow modeling
Mortgage valuation
Loan Performance
McDash
Intex
1010data
Agency credit risk transfer data
Statistical modeling
Econometric modeling
Machine learning
Python
SQL
C++
VBA

Location

On-site at stated location

Work Type

Hybrid work schedule

Experience Level

Senior Lead
7+ years

Education Level

Master’s degree or Ph.D. in mathematics, statistics, physics, engineering, computer science, quantitative finance, economics, or another highly 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 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.

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.