The Opportunity 

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 were looking to find the next generation of portfolio managers and quants through our internship programpeople who are eager to push the frontier of research and engineering in global macro investing.  

Overview & Responsibilities 

You will work directly with senior professionals to provide immediate impact on a range of projects: 

• 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, working in a fast-paced environment, interns will work within the Quant or Applied AI team, applying frontier AI techniques to research and trading problems, and contributing to the central analytics platform. Projects can include developing the core analytics library (Fixed Income, FX, Credit, Equity etc), integrating AI into trading tools, working with PMs to develop trading strategies, signals and back testing, and building agentic AI systems and LLM-based tools for research and trade workflows. 

• 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. 

Qualifications & Requirements 

• 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 (Excel, VBA, R, AI, and ML techniques).  

• Programming experience in Python. 

• Demonstrated interest in AI with ability to explain fundamental concepts. 

• Demonstrated interest and passion for financial markets. 

• Ability to work independently and collaboratively as part of a team. 

• Entrepreneurial spirit; strong communication and interpersonal skills. 

• Ability to prioritize, manage, and deliver on multiple projects. 

• Outstanding organizational skills and attention to detail. 

• Exceptional written and verbal communication skills in English. 

Why take this opportunity 

This is a unique opportunity to gain insight into one of the worlds 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, youll 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 correctness, robustness and speed matter. 

Top-performing interns are considered for our Graduate Program the following year and longer-term paths include roles as analyst, quant, and portfolio manager.  

Please note that you may only submit one application to the Summer Internship Program globally. We encourage you to apply to the role and region that best align with your skills, experience, and interests.