LOG IN
SIGN UP
Canary Wharfian - Online Investment Banking & Finance Community.
Sign In
Forgot password?
Don't have an account?
or
Join Canary Wharfian
By signing up, you agree to our Terms & Conditions and Privacy Policy.
or

2027 Summer Internship Program – Trading, Geneva

SummerNo visa sponsorship
Brevan Howard logo

at Brevan Howard

Hedge Funds

Posted 15 days ago

No clicks

**2027 Summer Internship Program – Trading, Geneva** Compute production-quality data pipelines and AI-powered tools as a Summer Intern. Key responsibilities include extracting and analyzing data, developing models and trading signals, and contributing to core analytics libraries. Ideal candidate possesses strong ML/AI skills, quantitative background, and is a penultimate year undergraduate/master's student in a STEM-related field. Solid coding skills and quick learning abilities are essential. Familiarity with LLMs, agent workflows, and macroeconomic data preferred. Join Brevan Howard's internship to work alongside industry pioneers and explore a long-term path as analyst, quant, or portfolio manager.

Compensation
Not specified

Currency: Not specified

City
Geneva
Country
Switzerland

Full Job Description

The Opportunity

If you enjoy applying your quantitative and ML skills to real-world problems, coding production-quality analysis and tools, and working in a fast-paced environment with immediate and tangible feedback, our Summer Internship Program is ideal for you.

At Brevan Howard, we build systematic and discretionary investment processes that rely on rigorous analysis of a vast universe of data, such as asset prices, macroeconomic indicators, news, sell-side research, and trading signals.

Transforming this data into actionable insights is central to how we win, and were looking to find the next generation of portfolio managers and quants through our internship programpeople who are eager to push the frontier of research and engineering in global macro investing.

What you will do

You will work directly with our front-office personnel to provide immediate impact on a range of projects:

  • Build pipelines to extract and analyse data, develop models and trading signals, and support decision-making of Portfolio Managers.

  • Integrate AI into analytical systems as well as building new AI-powered tools using the latest LLMs and agent workflows.

  • Contribute to our core analytics library, which is leveraged by Quants and PMs across the firm for research, trading and risk management.

How we will support you

Our Internship Program starts with one-week in-depth training to prepare interns for the desk. This covers a range of topics relevant for financial markets, including macroeconomics, traditional assets (fixed income, currencies, equity markets, and commodities), digital assets, trading strategies, risk management, and the latest AI tools and LLMs.

Additionally, you will benefit from key talks, a mentor program, social events and engagements with some of the most respected and talented individuals in their field. 

Why take this opportunity

This is a unique opportunity to gain insight into one of the worlds leading firms operating at the forefront of macro trading. At Brevan Howard, we believe the future of investing lies at the intersection of deep domain expertise and cutting-edge technology. As our industry is being reshaped by AI and automation, youll see first-hand how LLMs, retrieval, and agent-like systems are being used in the front-office environment at one of the worlds premier macro hedge funds where correctness, robustness and speed matter.

Top performing interns are considered for our Graduate Program the following year and longer-term paths include roles as analyst, quant, and portfolio manager.

The Requirements

  • A penultimate year undergraduate or master's student in Mathematics, Physics, Computer Science, Quantitative or a STEM-related field.

  • Solid coding skills.

  • A demonstrated interest in ML/AI and the ability to explain fundamental concepts.

  • Good written and verbal communication skills in English.

Finance/trading knowledge is a bonus but not a requirement: we care more about your ability to learn quickly, reason from data, solve problems, and build quality code.

2027 Summer Internship Program – Trading, Geneva

Compensation

Not specified

City: Geneva

Country: Switzerland

Brevan Howard logo
Hedge Funds

15 days ago

No clicks

at Brevan Howard

SummerNo visa sponsorship

**2027 Summer Internship Program – Trading, Geneva** Compute production-quality data pipelines and AI-powered tools as a Summer Intern. Key responsibilities include extracting and analyzing data, developing models and trading signals, and contributing to core analytics libraries. Ideal candidate possesses strong ML/AI skills, quantitative background, and is a penultimate year undergraduate/master's student in a STEM-related field. Solid coding skills and quick learning abilities are essential. Familiarity with LLMs, agent workflows, and macroeconomic data preferred. Join Brevan Howard's internship to work alongside industry pioneers and explore a long-term path as analyst, quant, or portfolio manager.

Full Job Description

The Opportunity

If you enjoy applying your quantitative and ML skills to real-world problems, coding production-quality analysis and tools, and working in a fast-paced environment with immediate and tangible feedback, our Summer Internship Program is ideal for you.

At Brevan Howard, we build systematic and discretionary investment processes that rely on rigorous analysis of a vast universe of data, such as asset prices, macroeconomic indicators, news, sell-side research, and trading signals.

Transforming this data into actionable insights is central to how we win, and were looking to find the next generation of portfolio managers and quants through our internship programpeople who are eager to push the frontier of research and engineering in global macro investing.

What you will do

You will work directly with our front-office personnel to provide immediate impact on a range of projects:

  • Build pipelines to extract and analyse data, develop models and trading signals, and support decision-making of Portfolio Managers.

  • Integrate AI into analytical systems as well as building new AI-powered tools using the latest LLMs and agent workflows.

  • Contribute to our core analytics library, which is leveraged by Quants and PMs across the firm for research, trading and risk management.

How we will support you

Our Internship Program starts with one-week in-depth training to prepare interns for the desk. This covers a range of topics relevant for financial markets, including macroeconomics, traditional assets (fixed income, currencies, equity markets, and commodities), digital assets, trading strategies, risk management, and the latest AI tools and LLMs.

Additionally, you will benefit from key talks, a mentor program, social events and engagements with some of the most respected and talented individuals in their field. 

Why take this opportunity

This is a unique opportunity to gain insight into one of the worlds leading firms operating at the forefront of macro trading. At Brevan Howard, we believe the future of investing lies at the intersection of deep domain expertise and cutting-edge technology. As our industry is being reshaped by AI and automation, youll see first-hand how LLMs, retrieval, and agent-like systems are being used in the front-office environment at one of the worlds premier macro hedge funds where correctness, robustness and speed matter.

Top performing interns are considered for our Graduate Program the following year and longer-term paths include roles as analyst, quant, and portfolio manager.

The Requirements

  • A penultimate year undergraduate or master's student in Mathematics, Physics, Computer Science, Quantitative or a STEM-related field.

  • Solid coding skills.

  • A demonstrated interest in ML/AI and the ability to explain fundamental concepts.

  • Good written and verbal communication skills in English.

Finance/trading knowledge is a bonus but not a requirement: we care more about your ability to learn quickly, reason from data, solve problems, and build quality code.