Vice President, Front Office Rates Quant

Wells Fargo•New York, NY

1d•$185,000 - $300,000

About The Position

Wells Fargo’s Corporate & Investment Banking Front Office Quantitative Model Development Team is undertaking a strategic buildout to strengthen its support for trading and sales partners. The successful candidate will be part of a team developing and implementing quantitative models and tools for interest rates risk management, trading, and pricing, including work in forecasting, optimization, and risk mitigation. New models will be integrated into a holistic markets quantitative risk and trading platform, with work led by the Front Office rates quant group and incorporated into a cross-asset-class CIB platform. The role partners with front-office trading, risk oversight, technology, model governance, business stakeholders, other quant teams, and project management. The candidate is expected to communicate approaches, progress, and issues effectively; deliver quality software and documentation through standardized planning and an Agile-based SDLC; and support the trading desk with questions about deployed models. The position also contributes to complex software development, large-scale project planning, solving business problems with quantitative and advanced technologies, and meeting policy, procedure, and compliance requirements. The position is subject to FINRA background screening and ongoing regulatory obligations. Specific compliance policies may apply to outside activities and personal investing. The listed base pay range is $185,000–$300,000; eligible employees may also be eligible for incentive opportunities.

Requirements

At least 5 years of Securities Quantitative Analytics experience, or equivalent demonstrated through work experience, training, military experience, or education.
Strong written, verbal, and interpersonal communication skills and ability to work collaboratively.
Ability to organize tasks, manage time, set priorities, work across multiple projects, and meet deadlines.
FINRA background screening and ongoing regulatory obligations must be met.

Nice To Haves

At least 5 years of quantitative development experience.
At least 4 years of interest rates modeling and model implementation experience.
At least 4 years of front-office derivatives quantitative model experience.
Strong derivatives modeling and implementation experience, especially with rates products and models.
Experience working with Sales and Trading partners as a front-office quant.
Solid knowledge of financial mathematics, particularly stochastic calculus, Monte Carlo, and other numerical methods.
Hands-on programming skills in C++ and Python, with proficiency in model implementation.
Delivery-focused experience partnering with technology to deploy models within a system.
Strong interest in financial markets and willingness to provide practical solutions for business stakeholders.
Experience with model documentation and model validation.
Demonstrated success collaborating with others in a change-driven environment.
Master’s or higher degree, or equivalent, in computer science, computational finance, mathematics, or a similar technical field.
PhD degree or equivalent in computer science, computational finance, or mathematics.

Responsibilities

Design, develop, and implement quantitative models for interest rates risk management, trading strategies, and pricing of interest rates products.
Develop, integrate, and deploy optimization-based curve construction in collaboration with other Quants, contributing relevant software design, implementation, and performance optimization expertise.
Communicate and partner with business stakeholders, other quant teams, technology, and project management.
Deliver high-quality software and documentation following standardized planning and an Agile-based SDLC process.
Support the trading desk with questions about deployed models.
Participate proactively in complex software design and development activities within an Agile environment.
Contribute to large-scale project planning while balancing short- and long-term objectives.
Use quantitative and advanced technologies to solve complex business problems.
Meet deliverables while adhering to policies, procedures, and compliance requirements.
Collaborate and consult with peers, colleagues, and project managers to resolve issues and achieve goals.
Communicate effectively and build consensus with project stakeholders.
Follow applicable risk and compliance programs, policies, and procedures; fulfill risk and compliance obligations; and escalate and remediate issues appropriately.