Description
Brevan Howard is seeking a Summer Intern for its Quant or Applied AI team to apply quantitative, machine learning, and AI techniques to research and trading problems in global macro investing. The internship includes a one-week training program, work on analytics libraries, trading tools, strategies, signals, back testing, and agentic AI systems, along with mentorship and talks. Candidates must be penultimate-year undergraduate, junior, or first-year master's or PhD students with completed and awarded degrees before July 2028, strong quantitative and technical skills, Python experience, and demonstrated interest in AI and financial markets.
