Jobs at Brevan Howard

Summer interns will work with portfolio managers, quants, and front-office teams to analyze financial data, develop models and trading signals, build AI- and LLM-powered tools, and contribute to analytics libraries. The program includes training in macroeconomics, financial markets, trading strategies, risk management, Python, Excel, and AI tools. Interns will research trade ideas, support market models, and may be considered for the firm’s graduate program.

Summer interns support the Data Sourcing and Strategy team by acquiring new data assets, managing complex data projects, evaluating alternative data, and analyzing investment professionals’ data requirements. The program includes training in financial markets, trading, risk management, Excel, Python, AI tools, and LLMs. Interns collaborate with senior professionals in a fast-paced macro hedge fund environment, with potential conversion to a graduate program.

Summer software engineering intern building real-time trading services, market data systems, portfolio manager tools, and production monitoring. Responsibilities span the full software development lifecycle, including design, implementation, testing, deployment, and production support. The role provides exposure to systematic trading, financial markets, low-latency systems, and collaboration with engineers, portfolio managers, and business stakeholders. High-performing interns may be considered for the following year's graduate program.

Summer interns support systematic execution research for macro trading across equities, futures, FX, rates, and other asset classes. Responsibilities include evaluating trading performance, improving algorithms, comparing execution strategies, applying statistical techniques to large datasets, and building execution-performance frameworks and reports. The program includes financial markets training, mentorship, and potential conversion to a graduate program.

Summer interns support systematic macro trading by building data pipelines, analytical models, trading signals, backtests, and AI-powered tools. They collaborate with portfolio managers and quants, contribute to analytics libraries, research trade ideas, and support risk and trading decisions. The program includes training in financial markets, Python, Excel, AI tools, and LLMs, with potential conversion to a graduate program.

Ten-week venture capital internship analyzing deep-technology startups across energy, AI, space, quantum computing, and agricultural technology. Interns will assess technical claims, industries, business models, financials, scalability, and investment prospects while connecting macroeconomic and geostrategic trends to investment judgments. The program includes financial markets, programming, and venture capital training, with opportunities to work directly with senior investment professionals and potential conversion to a graduate program.

Summer interns will apply quantitative analysis, machine learning, and AI techniques to financial research and trading problems. Responsibilities include developing analytics libraries, integrating AI into trading tools, creating strategies and signals, backtesting, and building LLM-based and agentic research workflows. Interns receive training in financial markets, quantitative methods, Excel, Python, and AI tools, while collaborating with quantitative teams, portfolio managers, and senior professionals.