Global Markets Quantitative Strategies Data Group 2027 Summer Associate - London

About the role

Summer Associate opportunity in Bank of America’s Quantitative Strategies and Data Group, supporting Global Markets sales and trading teams through models, data, and analytics. The summer internship applies quantitative, programming, statistical, machine learning, and financial-market skills to pricing, risk, trading strategies, electronic execution, and research in a fast-paced environment.

About the Team and Programme

• Quantitative Strategies and Data Group develops models, data, and analytics solutions for Global Markets sales and trading teams.
• The programme provides hands-on experience with quantitative problems affecting trading businesses and analytical solutions.
• Work involves collaboration across business lines, supported by governance, ethics, and scientific rigor.

Responsibilities

• Develop and enhance pricing, risk, and analytics models for complex derivative products.
• Apply statistical, machine learning, and artificial intelligence techniques to large market and trading datasets.
• Research, design, and implement quantitative trading signals and strategies with traders.
• Build tools improving trading efficiency, risk management, and profitability.
• Develop and optimise electronic trading algorithms for execution and market-making workflows.
• Use modern artificial intelligence and agentic workflows to automate research and accelerate model development.

Eligibility

• Pursue a Bachelor’s or Master’s degree at an accredited college or university.
• Complete all exams, coursework, and graduation requirements between September 2027 and July 2028.
• Be on track for a minimum 2:1 degree classification or equivalent.
• Study mathematics, statistics, physics, computer science, engineering, or a related quantitative discipline.
• Be available for potential full-time employment beginning July 2028, or January or April 2028 starts.

Essential Skills

• Demonstrate excellent analytical, modelling, and problem-solving skills.
• Work effectively independently and within cross-functional teams in a fast-paced trading environment.
• Explain complex quantitative concepts clearly to technical and non-technical audiences.
• Have strong programming skills; Python is strongly preferred, while Java or C++ is valued.

Desired Experience

• Experience with numerical methods, stochastic modelling, and computational finance techniques.
• Knowledge of financial markets, trading workflows, and derivative products across one or more asset classes.
• Understanding of derivatives modelling, option pricing theory, and risk management concepts.
• Experience applying machine learning, artificial intelligence, or advanced statistics to quantitative or financial problems.