Lead Securities Quantitative Analytics Specialist (Req. #002530)

Wells Fargo•New York, NY

7d•$185,000 - $300,000•Hybrid

About The Position

Wells Fargo Bank N.A. seeks a Lead Securities Quantitative Analytics Specialist in New York, NY. Corporate Risk helps all Wells Fargo businesses identify and manage risk. The team focuses on several key risk types, including conduct, credit, financial crimes, information security, interest rate, liquidity, market, model, operational, regulatory compliance, reputation, strategic, and technology risk. The group provides leadership, enhances communications, assists with problem identification and solutions, and shares best practices. In addition, the group provides an enterprise-wide view of risk, assists management and our Board of Directors in identifying and monitoring risks that may affect multiple lines of business, and takes appropriate action when business activities exceed the risk tolerance of the company.

Requirements

Master’s degree in Finance, Statistics, Mathematics, or related quantitative field
Five (5) years of experience in the job offered or in a related position involving securities quantitative analytics experience.
5 years of quantitative development experience
4 years Credit and SPG modeling and model implementation experience
Experience with Credit and SPG products PnL process development and implementation
Experience working with Sales and Trading partners as a front office quant
Financial mathematics, particularly stochastic calculus, Monte-Carlo or other numerical methods.
Programming in C++ and Python, and proficient in the model implementation.
Experience with model documentation and model validation.

Responsibilities

Design, development, and implementation of quantitative models for Credit and SPG risk management, trading strategies, and pricing of Credit and SPG products.
Develop, integrate, and deploy optimization-based curve construction in collaboration with other Quants, providing expertise in relevant software design, implementation and performance optimization.
Effectively communicate and partner with Business Stakeholders, other Quant Teams, Technology and Project Management.
Deliver high-quality software and documentation following our standardized planning and Agile-based SDLC process.
Support the trading desk with questions about deployed models.