Off-Cycle Quantitative Finance Associate

Bank of America; United States; On-site; USD 90,000 - 135,000; Full time

Job summary

Bank of America seeks an Off-Cycle Quantitative Finance Associate to apply rigorous analytics in a fast-paced trading environment. The role is with the Quantitative Strategies and Data Group (QSDG), focusing on pricing, risk, and trading signal development within Global Markets.

Ideal candidates are pursuing a Bachelor’s or Master’s in a quantitative field, with strong Python and programming skills, and a plan to graduate between Sep 2027 and Jul 2028. A 2:1 or equivalent is expected.

Qualifications

• Pursuing a Bachelor’s or Master’s degree with completion between September 2027 and July 2028.
• On track for a minimum 2:1 degree classification (or equivalent).

Responsibilities

• Develop and enhance pricing, risk and analytics models for complex derivative products.
• Apply statistical, machine learning and AI techniques to analyse large market datasets, client interactions and trading performance.
• Partner with traders to research, design and implement quantitative trading signals and strategies used in electronic and systematic hedging.
• Build frameworks & tools to support improve trading efficiency, risk management and profitability.
• Develop and optimise electronic trading algorithms across execution and market‑making workflows.
• Leverage modern AI technologies and agentic workflows to automate research, accelerate model development and enhance trading decisions

Skills

Analytical skills

Python

Java

C++

Quantitative modelling

Problem solving

Education

Bachelor's or Master's degree in mathematics, statistics, physics, computer science, engineering

Job description

Bank of America seeks an Off-Cycle Quantitative Finance Associate to apply rigorous analytics in a fast-paced trading environment. The role is with the Quantitative Strategies and Data Group (QSDG), focusing on pricing, risk, and trading signal development within Global Markets.

Ideal candidates are pursuing a Bachelor’s or Master’s in a quantitative field, with strong Python and programming skills, and a plan to graduate between Sep 2027 and Jul 2028. A 2:1 or equivalent is expected.