Global Markets Quantitative Strategies Data Group 2027 Summer Associate - London

Bank of America·London·United Kingdom·Sales & Trading

Bank of America is hiring a Global Markets Quantitative Strategies Data Group 2027 Summer Associate - London in London. Posted 2026-09-01; applications close 2026-10-31 (in 55 days).

Role details

Quantitative Finance – Summer Associate

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We drive Responsible Growth and deliver 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 a commitment to an inclusive workplace, attracting and developing exceptional talent, supporting teammates’ physical, emotional, and financial wellness, recognising and rewarding performance, and making an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance, allowing for flexibility based on role-specific considerations.

Team

The Quantitative Strategies and Data Group (QSDG) uses models, data, and analytics to develop and deliver impactful solutions to sales and trading teams across Global Markets. We collaborate across business lines and are guided by high standards of governance, ethics, and scientific rigor.

Programme Overview

Our summer internship programme is designed to offer you the opportunity to apply your quantitative skills in an exciting and fast-moving environment. You will gain first-hand experience of the types of problems the trading business faces, and the vital role analytical skills play in solving them.

Training and Development

Your training and development is our top priority, with extensive formal training offered at the start of the programme, plus on-the-job support, educational speaker events, and mentorship throughout.

Responsibilities

As a summer associate, your key tasks and responsibilities may include, but are not limited to:

  • 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 and tools to 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.

Eligibility

  • Candidates must be pursuing a Bachelor’s or Master’s degree from an accredited college or university, with a completion timeframe between September 2027 and July 2028.
  • Completion means you have completed all final exams, coursework, and have no outstanding requirements for graduation.
  • You must be on track for a minimum 2:1 degree classification (or equivalent).
  • We reserve the right to request evidence of your completion date before extending an offer.

Candidates who perform well during the internship may be offered full-time employment to commence in July 2028. Some lines of business may also offer the opportunity of a January or April start date. If offered, you must be available to join on one of these start dates. Deferrals are not available.

What We Are Looking For

Essential

  • Excellent analytical, modelling, and problem-solving skills.
  • Ability to work effectively in a fast-paced trading environment, independently and as part of cross-functional teams.
  • Excellent communication skills, with the ability to explain complex quantitative concepts to both technical and non-technical audiences.
  • Strong programming skills. Python is strongly preferred; experience with Java and/or C++ is also valued.
  • Degree choices in mathematics, statistics, physics, computer science, engineering, or a related quantitative discipline.

Desired

  • 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.
  • Solid understanding of derivatives modelling, option pricing theory, and risk management concepts.
  • Experience applying machine learning, AI, or advanced statistical techniques to real-world quantitative or financial problems.

Our Recruitment Process

Analyst internship and full-time recruiting takes place on a rolling basis once applications are open. Assessments often begin before the deadline, so it is best to submit your application early to maximise your chance of being considered.

Workplace Adjustments

Bank of America is committed to ensuring its online application process provides an equal employment opportunity to all job seekers. If you need a workplace adjustment to search for a job opening, need help completing your application or video interview, email juniortalentemea@bofa.com with details of the support you need. The team will respond within two business days.

Salary and Benefits

We offer a competitive salary and benefits package.

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This Global Markets Quantitative Strategies Data Group 2027 Summer Associate - London role at Bank of America runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications.

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