Quantitative Strategies Off-Cycle Associate (Global Markets)

Bank of America; Paris; Sur place; EUR 45 000 - 65 000; Plein temps

Résumé du poste

Bank of America in Paris is offering an Off-Cycle Associate role in Quantitative Finance. You will work with the Quantitative Strategies and Data Group to develop models, apply ML/AI to market data, and design trading signals in a fast-paced trading environment.

Ideal candidates are pursuing a Bachelor’s or Master’s degree with strong analytical and programming skills, particularly Python, Java or C++. The program offers training and potential full-time opportunities starting in 2028.

Qualifications

• Excellent analytical, modelling and problem-solving abilities.
• Ability to work in a fast-paced trading environment, independently and in teams.
• Strong programming skills; Python preferred, Java/C++ valued.

Responsabilités

• 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.
• 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

Connaissances

Analytical skills

Modelling

Problem-solving

Cross-functional teamwork

Python programming

Java/C++ knowledge

Communication skills

Formation

Mathematics/Statistics/Physics/CS/Engineering

Outils

Python

Java

C++

Description du poste

Bank of America in Paris is offering an Off-Cycle Associate role in Quantitative Finance. You will work with the Quantitative Strategies and Data Group to develop models, apply ML/AI to market data, and design trading signals in a fast-paced trading environment.

Ideal candidates are pursuing a Bachelor’s or Master’s degree with strong analytical and programming skills, particularly Python, Java or C++. The program offers training and potential full-time opportunities starting in 2028.