6-Month Internship – Trading, Tel Aviv

About the role

Six-month internship in Tel Aviv supporting front-office trading and portfolio-management projects at Brevan Howard. The role combines data pipelines, statistical and machine-learning research, natural-language processing, trading-signal development, and production-quality tools. Interns use data and leading LLMs to support research, decision-making, and trade-idea generation in global macro investing.

Responsibilities

• Build data pipelines, analyze datasets, develop models and trading signals, and support Portfolio Manager decision-making.
• Develop systematic trading signals by identifying statistically robust patterns in complex time-series and unstructured data.
• Apply statistical, machine-learning and natural-language-processing methods to news, research reports and social-media data.
• Support trading pods with research, analysis and actionable insights for systematic and discretionary investment processes.
• Use leading LLMs and the broader AI stack to develop tools, conduct research and generate trade ideas.

Program Opportunity

• Work directly with front-office personnel on projects providing immediate and tangible impact.
• Gain exposure to macro trading, portfolio management, quantitative research and engineering at a global hedge fund.
• Explore how LLMs, retrieval and agent-like systems support front-office investing, where correctness, robustness and speed matter.
• Work in a fast-paced environment focused on applying quantitative and machine-learning skills to real-world problems.

Requirements

• Study mathematics, physics, computer science, statistics or engineering, ideally with a signal-processing focus.
• Have research or practical experience in statistics and time-series analysis.
• Have hands-on machine-learning experience, including regression, decision trees or neural networks.
• Demonstrate proficiency in Python and technical proficiency with Excel, VBA or R.
• Bring strong mathematical, quantitative and problem-solving skills, plus a strong interest in financial markets and trading.
• Work independently and collaboratively, demonstrate an entrepreneurial mindset, and communicate effectively in written and spoken English.