Securities Quantitative Analytics Associate (Req #001903)

Wells Fargo•New York, NY

2d•$143,000 - $224,000•Hybrid

About The Position

Wells Fargo Bank N.A. seeks a Securities Quantitative Analytics Associate in New York, NY. This role involves developing, implementing, and maintaining quantitative models and analytical frameworks for derivatives portfolios, including valuation adjustments (XVA) and counterparty credit risk. The associate will perform quantitative analysis of financial instruments using mathematical, statistical, and financial theory to assess pricing, sensitivities, and risk exposures. Responsibilities include designing and enhancing analytical methodologies for stress testing, scenario analysis, and regulatory capital exercises, collaborating with various teams to translate business requirements into quantitative solutions, and conducting peer reviews and model impact assessments. The role also requires maintaining comprehensive documentation for models and processes to ensure transparency, auditability, and regulatory compliance, adhering to internal model risk management standards. Telecommuting is permitted up to 2 days a week, but the position requires in-person presence at the New York, NY location.

Requirements

PhD in Physics, Statistics, Mathematics, Operations Research, or a related quantitative field
1 year of experience in the job offered or in a related quantitative analytics role
Strong foundation in quantitative finance, statistics, probability theory, and linear algebra, with demonstrated application to securities pricing, risk modeling, and portfolio analytics.
Extensive hands-on programming experience in C++ and Python for the development of performance sensitive quantitative models.
In depth knowledge of financial markets and instruments, including equities, fixed income securities, derivatives (options, futures, swaps), and structured products.
Demonstrated experience in quantitative modeling for financial markets, including the development, implementation, and validation of pricing models (e.g., Black Scholes, binomial tree methods, Monte Carlo simulation) and risk measurement frameworks.
Experience applying time series analysis, regression techniques, and statistical inference to complex market data.
Proficiency in SQL and relational database systems for extracting, manipulating, and analyzing large scale financial datasets.
Ability to translate quantitative analyses into clear, actionable insights for trading, risk management, and senior stakeholders.
Familiarity with version control systems (e.g., Git) and collaborative software development practices in a quantitative research environment.

Responsibilities

Develop, implement, and maintain quantitative models and analytical frameworks to support valuation, risk measurement, and capital calculations for derivatives portfolios, including valuation adjustments (XVA) and counterparty credit risk.
Perform quantitative analysis of financial instruments by applying mathematical, statistical, and financial theory to assess pricing, sensitivities, and risk exposures under various market conditions.
Design and enhance analytical methodologies used in stress testing, scenario analysis, and regulatory capital exercises by incorporating market data, model assumptions, and portfolio characteristics.
Collaborate with trading, risk management, and technology teams to translate business requirements into quantitative solutions and to ensure consistent implementation of models in production systems.
Conduct peer reviews and model impact assessments by evaluating quantitative changes, documenting rationale, and supporting internal governance and control processes.
Maintain comprehensive model and process documentation to support transparency, auditability, and regulatory review, ensuring alignment with internal model risk management standards.