Vice President; Quantitative Finance Analyst

Bank of America - New York, NY

Full-time

Remote - New York, NY

Credit Intermediation and Related Activities

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. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

Responsibilities

• Perform enhancement of pricing and risk models to incorporate new market or products features.
• Conduct quantitative analysis of the current markets, trends and trading strategies.
• Investigate and improve high-frequency algorithmic trading strategies.
• Work with front office technology teams to integrate models into the trading and risk systems.
• Perform work required to support regulatory and compliance requirements (including Comprehensive Capital Analysis and Review).
• Develop Front Office Trading Risk and PnL Systems to help FICC trading desks more effectively manage intraday and end of day risks.
• Use Python programming, object-oriented paradigms, and implementations of Financial Models for use in risk, pricing, and PnL attribution.
• Develop high-reliability distributed computing processing systems using Python to calculate large volume trades risks and PL.
• Analyze quantitative risk and pricing metrics of fixed income interest rate products including Swaps, Bonds, and Futures.
• Apply statistical analysis to provide portfolio hedging suggestions.

Requirements

• Master's degree or equivalent in Financial Engineering, Statistics, Mathematics, or related.
• 2 years of experience in the job offered or a related financial occupation.
• Must include 2 years of experience in each of the following: Developing Front Office Trading Risk and PnL Systems to help FICC trading desks more effectively manage intraday and end of day risks.
• Using Python programming, object-oriented paradigms, and implementations of Financial Models for use in risk, pricing, and PnL attribution.
• Developing high-reliability distributed computing processing systems using Python to calculate large volume trades risks and PL.
• Analyzing quantitative risk and pricing metrics of fixed income interest rate products including Swaps, Bonds, and Futures.
• Apply statistical analysis to provide portfolio hedging suggestions.