Summer Quant Trading Internship — AI & ML Focus

Brevan Howard

Greater London

Hybrid

GBP 18,000 - 32,000

Full time

11 days ago
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Job summary

Brevan Howard invites penultimate-year undergraduates or first-year masters to join a hands-on Summer Internship in London, applying quantitative and ML skills to real-world problems. You will work with front-office staff to build data pipelines, develop models, and create trading signals that influence decision making.

The program starts with intensive training on macro markets, Excel, Python, and AI tools, plus mentoring and exposure to multi-strategy hedge fund practices.

Qualifications

  • Penultimate-year undergraduate or 1st year master's or PhD student, expected to graduate before July 2028.
  • Strong mathematical, quantitative, problem-solving capabilities.
  • Interest and passion for financial markets, trading, and financial products.
  • Ability to work independently and collaboratively as part of a team.
  • Entrepreneurial spirit.
  • Strong written and verbal communication skills in English.

Responsibilities

  • Build pipelines to extract and analyze data and support research.
  • Develop models and trading signals for decision-making.
  • Support front-office decision-making and analytics.
  • Integrate AI into analytical systems and build AI-powered tools using LLMs and agent workflows.
  • Contribute to core analytics library used by Quants and PMs for research and risk management.

Skills

Mathematical ability
Quantitative skills
Problem solving
Excel
VBA
R
Python
AI/ML techniques
English communication
Teamwork

Tools

Python
Excel
R
VBA
AI tools

Job description

Brevan Howard invites penultimate-year undergraduates or first-year masters to join a hands-on Summer Internship in London, applying quantitative and ML skills to real-world problems. You will work with front-office staff to build data pipelines, develop models, and create trading signals that influence decision making.

The program starts with intensive training on macro markets, Excel, Python, and AI tools, plus mentoring and exposure to multi-strategy hedge fund practices.

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