2026 Summer Internship Program – Artificial Intelligence & Quant, New York
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About this role
Overview & Responsibilities
Our 10-week Summer Internship Program seeks to hire ambitious, enthusiastic candidates with strong mathematical and quantitative backgrounds, coding skills, a demonstrable passion for markets, and an interest in working across all facets of quantitative analysis. Interns will work with our Quant teams building front-office tools, analysing data, contributing to the core analytics library, and integrating AI into analytical systems.
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.
During the program, working in a fast-paced environment, interns will work with Quants and PMs to contribute to the central analysis platform. Projects can include developing the core analytics library (Fixed Income, FX, Credit, Equity etc), integrating AI into trading tools, and working with PMs to develop trading strategies, signals and back testing.
This internship is devised to provide candidates with an invaluable education on the workings of a macro hedge fund from a quantitative and technological perspective, and to determine if Brevan Howard and the intern are a compatible fit. The goal of our summer internship programme 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 leading 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 degree in Mathematics, Physics, Computer Science, Quantitative or STEM related field
- Strong mathematic, quantitative and problem-solving capabilities
- Programming experience in Python and strong general technical skills
- A demonstrated interest in AI and the ability to explain fundamental concepts
- A 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
- Can prioritize, manage and deliver on multiple projects to investment teams accordingly
- Outstanding organizational skills and strong attention to detail
- Exemplary professionalism with internal and external clients
- Exceptional written and verbal communication skills in English