Skip to content

Front Office Equities Quant – Vice President
Company | Wells Fargo |
---|
Location | New York, NY, USA |
---|
Salary | $144400 – $300000 |
---|
Type | Full-Time |
---|
Degrees | PhD |
---|
Experience Level | Senior |
---|
Requirements
- 5+ years of Securities Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Responsibilities
- Proactively participate in the design, development, and implementation of quantitative models for equities risk management, trading strategies, and pricing of equity derivatives products within an Agile environment.
- Contribute to the development, integration, and deployment of optimization-based curve construction, collaborating with other Quants to provide expertise in software design, implementation, and performance optimization.
- Apply quantitative and advanced technologies to solve complex business problems related to equities trading and risk, ensuring solutions are robust and well-documented.
- Collaborate and consult with Business Stakeholders, other Quant Teams, Technology, and Project Management to effectively communicate model details, resolve issues, and achieve project goals.
- Deliver high-quality software and documentation following standardized planning and Agile-based SDLC processes, ensuring models are well-supported and maintainable.
- Support the trading desk by addressing questions about deployed models and providing insights into model behavior.
- Meet deliverables while adhering to policies, procedures, and compliance requirements related to model risk management and regulatory standards.
- Contribute to large-scale project planning, balancing short-term objectives with long-term strategic goals for the quantitative modeling framework.
- Effectively communicate with and build consensus with all project stakeholders, ensuring alignment on model development and deployment strategies.
Preferred Qualifications
- 5+ years of hands-on coding experience, C++ and Java are most relevant, with an emphasis on numerical optimization
- 5+ years of derivative product and market experience in one or more of the following areas: rates and foreign exchange
- Excellent verbal, written, and interpersonal communication skills
- Experience with volatility surfaces, rate, borrow and dividend curves, ideally in C++
- Experience with Sales and Trading partners as a front office quant
- PhD degree or equivalent in computer science, computational finance or mathematics