Quantitative Execution Consultant

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!

Insight Team: Execution Consulting

The Execution Consulting team is a quantitatively oriented front office research group within the Execution Platform and Electronic Trading group. Members of the team perform research on transaction cost analysis (TCA), algorithmic trading strategies, order routing, and market structure. Each team member works closely with internal and external clients in order to improve the execution quality for BofA’s algorithmic platform. The ideal candidate has a data and technology skill set with a passion for studying large data sets through quantitative methods and communicating those results.

Responsibilities:

• Transaction cost analysis of client trading flow, and advising clients of how they can optimize their usage of BofA’s execution platform.
• Internal research of BofA’s algorithmic platform, including parent order parameters and order routing analysis.
• Changes to either client specific algorithmic customizations, or plant wide algorithm and routing enhancements.
• Client facing content on relevant research performed by the group, which can span from 1-2 page notes to more in depth papers.
• Insightful data requests for internal sales/traders and external clients.
• Thoughtful data-driven analysis on market microstructure and regulatory trends.
• Quantifying algorithm improvements via trials, simulation, and signal evaluation.

Requirements:

• Bachelors degree+ in a quantitative field: math, statistics, computer science, engineering or equivalent work experience.
• 3-5 years experience performing transaction cost analysis and related equity microstructure research.
• Familiarity with agency algorithmic trading strategies and order routing/venue analysis.
• Strong programming experience in KDB+/Q, R, and SQL, familiarity with UNIX OS.
• Proven ability to work with large datasets.
• Comfort interfacing with external clients on analysis and research content, with the ability to explain difficult concepts in a clear fashion.
• Strong writing and client presentation skills.

Shift:

Hours Per Week: