Quantitative Developer C++ / Hedge Fund - Germany

Selby Jennings; Hamburg; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

Selby Jennings is representing a leading hedge fund seeking a Quantitative Developer to join its Energy Trading Technology team in Hamburg. You will work directly with traders and analysts to build and enhance the core algorithmic trading platform and the market access layer supporting energy contracts.

The role is front-office aligned, focusing on execution and trading algorithms, with relocation support for international candidates.

Qualifications

• 3+ years of commercial software engineering experience.
• Excellent computer science fundamentals and problem-solving ability.
• Rigorous engineering mindset and coding standards.

Responsibilities

• Develop and enhance the core algorithmic trading platform for short-term power markets and longer-term energy contracts.
• Build, maintain and optimise the market access layer used by traders to interact with global energy markets.
• Design and support execution and trading algorithms used across the trading desks.
• Work directly with traders and analysts to deliver technology solutions that improve trading performance and operational efficiency.
• Take ownership of business-critical systems within a fast-paced front-office environment.
• Drive the evolution of the platform as volumes grow and market complexity increases.
• Contribute to the expansion of a growing engineering team and help shape the future of trading technology.

Skills

Algorithmic trading

Distributed systems

CS fundamentals

Job description

Our client, a leading global hedge fund, is looking to hire a Quantitative Developer to join its growing Energy Trading Technology team in Hamburg.

This is a front-office aligned engineering role, working directly with traders and analysts to build and enhance the core algorithmic trading platform and market access that supports energy and power contracts.

The team sits at the core of the firm's trading infrastructure, developing the execution and trading algorithms used by the desk. As trading volumes continue to grow and markets become increasingly competitive, they are investing in dedicated engineering talent to work closely alongside the business and drive the next generation of trading technology.

What You'll Be Doing

• Develop and enhance the core algorithmic trading platform supporting short-term power markets and longer-term energy contracts.
• Build, maintain, and optimise the market access layer used by traders to interact with global energy markets.
• Design and support execution and trading algorithms used across the trading desks.
• Work directly alongside traders and analysts to deliver technology solutions that improve trading performance and operational efficiency.
• Take ownership of business-critical systems within a fast-paced front-office environment.
• Drive the continued evolution of the platform as trading volumes increase and market complexity grows.
• Contribute to the expansion of a growing engineering team and help shape the future of trading technology within the business.

What We're Looking For

• 3+ years of commercial software engineering experience.
• Excellent computer science fundamentals and a passion for solving complex technical problems.
• A rigorous engineering mindset and strong coding standards.
• Experience in finance or commodities is welcome but not required.

Why Join?

• Direct exposure to front-office trading teams.
• Build and scale business-critical trading systems.
• Join a lean, high-impact engineering team with significant ownership.
• Work on challenging problems across algorithmic trading, market connectivity, and distributed systems.
• Opportunity to shape a growing technology function within a leading hedge fund.
• Comprehensive relocation support available for international candidates.

We welcome applications from international candidates. Our client offers comprehensive relocation support to Germany to help ensure a smooth transition.