2026 Summer Internship Program – Systematic Execution Strategy, New York
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About this role
Overview & Responsibilities
Our 10-week summer Internship Program seeks to hire ambitious, enthusiastic candidates who have strong mathematical, quantitative backgrounds and coding skills, with demonstrated passion for markets and an interest to work on execution research.
The Execution Research team is part of the Brevan Howard Systematic business. We employ quantitative methods to trade Equities, Futures, FX, Rates and other asset classes.
During the program, working in a fast-paced environment, interns will contribute to the team that is responsible for designing, implementing & continuously evolving Execution Research. Responsibilities of the Execution Research team include evaluating the performance of our trading, improving trading algorithms, and developing methods to compare various execution strategies. Main duties of the internship may include assisting the team in applying advanced statistical techniques on large datasets and building execution performance framework and reports.
Our Internship Program starts with one-week in-depth training to prepare interns for the desk. This covers a range of topics relating to Financial Markets including Macroeconomics, FX, Digital Assets, Interest Rate Derivatives, Equity Rates, Bonds, Credit and Fixed Income, Trading Strategies, Risk Management, Excel and Python.
Additionally, interns will benefit from key talks, a mentor program, social events and interactions with some of the most respected and talented individuals in their field.
This internship is devised to provide candidates with an invaluable education on the workings of a macro hedge fund and the regulatory environment through a two-way process to determine if Brevan Howard and the intern are a compatible fit.
The goal of our summer internship program is to convert top performing interns to our 2027 Graduate Program.
Qualifications & Requirements
- A penultimate year undergraduate / junior or 1st year Master’s student at a recognized University and on course for a minimum of a 2:1 / 3.6 GPA – completed and awarded before July 2027
- Bachelor’s or Master’s in Statistics, Data Science, Mathematics, Computer Science, or Engineering
- Programming experience in Python. Experience in Linux, SQL, and KDB/Q is a plus
- Strong mathematic, quantitative and problem-solving capabilities
- A demonstrated interest and passion for financial markets, trading, and financial products
- Can work independently and collaboratively as part of a team
- Entrepreneurial spirit
- Strong communication, professionalism and interpersonal skills
- Can prioritize, manage and deliver on multiple projects to investment teams accordingly
- Outstanding organizational skills and strong attention to detail
- Exceptional written and verbal communication skills in English