Vice President; Quantitative Finance Analyst

Bank of America • New York, NY

1d • $225,000 - $235,000 • Hybrid

About The Position

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Description: This job is responsible for conducting quantitative analytics and modeling projects for specific business units or risk types. Key responsibilities include developing new models, analytic processes, or systems approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations include having a broad knowledge of financial markets and products.

Requirements

• Master's degree or equivalent in Computational Finance, Statistics, Computational Engineering, Finance, Math or related: and 3 years of experience in the job offered or a related Finance occupation.
• Must have 3 years of experience in each of the following: Implementing pricing and risk models using Python and Kdb that have the level of performance, observability, fault tolerance and resilience that is required for by the business; Designing and maintaining simulation tools to test different models and parameters in different scenarios and historical contexts; Designing metrics and conducting quantitative analysis to evaluate and improve model performance; and, Utilizing knowledge in applying mathematical models for electronic trading of financial instruments including techniques involving statistics and probability theory, and application of machine learning techniques in financial markets.

Responsibilities

• Develop pricing models for systematic market making.
• Build risk models to help manage risk-taking behavior by the algorithm.
• Cooperate with the ETF and portfolio trading quants and starts to work on efficiently transferring risk to where it can be most efficiently managed.
• Conduct research on modelling market behavior to better capture their impact.
• Conduct timely ad-hoc research into new observed market behaviors.
• Set up automated monitoring systems to alert trading to significant market moves.
• Deeply understand market structure and statistical skill and judgement.

Benefits

• This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.
• This role is currently benefits eligible.
• We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level