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Brevan Howard’s Summer Internship Program invites penultimate-year undergrads or early-stage master’s/PhD students to work on real-time trading systems and market data infrastructure. You’ll collaborate with senior professionals across the live trading platform and data stack, gaining hands-on exposure to design, code, and deployment across the software lifecycle.
Interns receive in-depth training on financial markets, macro topics, FX, fixed income and emerging AI tools, with mentorship, social
If you enjoy applying your quantitative and ML skills to real-world problems, coding production-quality analysis and tools, and working in a fast-paced environment with immediate and tangible feedback, our Summer Internship Program is ideal for you.
At Brevan Howard, we build systematic and discretionary investment processes that rely on rigorous analysis of a vast universe of data, such as asset prices, macroeconomic indicators, news, sell-side research, and trading signals. Transforming this data into actionable insights is central to how we win, and we're looking to find the next generation of portfolio managers and quants through our internship program-people who are eager to push the frontier of research and engineering in global macro investing.
You will work directly with senior professionals to provide immediate impact on a range of projects:
The Systematic Trading Technology team is part of the Brevan Howard Systematic business. We build and operate the live trading platform that every systematic portfolio manager uses to execute their strategies, and we deliver the market data those strategies trade on.
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, and the latest AI tools and LLMs.
During the program, interns will contribute to the team's work across both the trading platform and the market data stack, gaining exposure to the full software development lifecycle - from design and implementation through deployment and production support - while working closely with engineers, portfolio managers and business stakeholders in a fast-paced environment.
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 2028 Graduate Program.
Every systematic strategy at the firm reaches the market through our platform. As part of our Systematic Trading Technology team, you'll help build the real-time systems that execute trades and deliver the market data our strategies depend on.
You’ll gain exposure to the full development lifecycle in a mission-critical environment.
A penultimate year undergraduate/junior or 1st year master's or PhD student at a recognized University - completed and awarded before July 2028
Strong mathematical, quantitative, problem-solving capabilities, and technical skills in Excel, VBA, and R .
Programming experience in Java; familiarity with Python, JavaScript/TypeScript, Linux, Git and SQL is a plus
An interest in building reliable, low-latency systems, and the curiosity to dig into how complex systems behave under real conditions
An interest and passion for financial markets, trading, and financial products.
The ability to work independently and collaboratively as part of a team .
An entrepreneurial spirit.
Strong written and verbal communication skills in English.
This is a unique opportunity to gain insight into one of the world’s leading firms operating at the forefront of macro trading. At Brevan Howard, we believe the future of investing lies at the intersection of deep domain expertise and cutting‑edge technology. As our industry is being reshaped by AI and automation, you’ll see first‑hand how LLMs, retrieval, and agent‑like systems are being used in the front‑office environment at one of the worlds premier macro hedge funds –…? where correct…?
Top‑ending interns are considered…?
Compensation for this internship is based on an annualized salary of $1 50 ,000,