Quantitative Strategies and Data Group - Equity Quant VP

Job Description:

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

The Quantitative Strategies and Data Group (QSDG) is looking for an VP level candidate, to be based in New York, covering the Portfolio Trading desk within the Equities division. As part of this role you will work in an exciting, fast-paced environment, working closely with traders and others to build or improve infrastructure, processes & research aiming to better serve client needs and maximize profitability. The trading activities are mostly linked to index/ETF rebalances and trade optimizations.

There will be opportunities of daily interaction with the trading desks as well as working closely with our Risk, Finance, Middle Office, and Technology partners.

This role is very technical in nature and requires in-depth knowledge of mathematical modeling, programming languages, and understanding of finance and derivatives.

The role entails:

• Develop expert-level knowledge of Portfolio Trading business and strategies
• Gain experience working directly with traders and solving their daily needs
• Building state of the art data processing infrastructures leveraged to conduct own research around portfolio trading
• Automation of business processes and data driven decision making

Candidate Requirements

• MS or PhD in quantitative disciplines (e.g. Computer Science, Data Science, etc.)
• Strong programming and technical skills. Proficiency in Python (Pandas, etc.) and Database languages (SQL, KDB, etc.) required
• Fantastic communication skills to deliver work and interact with partners
• Familiarity or experience in developing large and complex yet maintainable codebases
• Knowledge in delta one and index strategies would be useful but not necessary
• Interested in finance and curious about different technologies
• An entrepreneurial, self-directed and curious mindset would be the ideal fit for this opportunity and environment.

Shift:

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