Quantitative Execution Consultant at Bank of America
New York, New York, USA -
Full Time


Start Date

Immediate

Expiry Date

16 Sep, 25

Salary

225000.0

Posted On

16 Jun, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Sql, Computer Science, External Clients, Presentation Skills, Statistics, Trading Strategies, R

Industry

Financial Services

Description

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!

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
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