Quantitative Developer, Systematic Power Trading - Engelhart

About the Role

Our team runs systematic trading strategies in short-term power markets around the world. In many countries, trading algorithms are central to how intermittent renewable power generation gets integrated into the grid - the liquidity and price signals we provide are part of what makes the renewables transition work. This role offers a unique blend of technical challenge and societal impact, providing you with end-to-end exposure to the full algorithmic trading value chain. This spans systems development for automated trading, machine-learning operations, dev-ops, backtest technology, data engineering and dashboarding. Within this broad purview, your primary focus will be platform development and technical operations.

This position is based in our Berlin office, and will be tasked with the following responsibilities:

• Build and operate python-based trading stack for continuous / day-ahead power: signal generation, backtesting, execution logic etc.
• Contribute to developing optimised data solutions that allow for low latency (seconds) data retrieval.
• Productionise and monitor live trading algos.
• Apply software development best practices to design scalable, robust and testable systems.
• Work closely with quant researchers, traders and risk teams to turn ideas into deployed strategies.
• Support the expansion of the business into new areas.
• Engage in exciting technical challenges, including performance optimisation, cloud-native application development and the creation of versatile reporting and visualisation frameworks.

About You

You’re an engineer who want s their code running in production against live markets, not sitting in notebooks. You care about correctness and reliability because the cost of a bug is real. Domain experience in power or energy markets is a plus, not a requirement. We value diversity of thought and encourage applications from individuals with varied backgrounds and experiences.

As a result, we believe the following background and acquired knowledge will best set this individual up or success:

• A minimum of 2 years of experience as a Python developer.
• Strong software engineering fundamentals: OOP and functional patterns, modular loosely coupled design, a solid grasp of data structures and algorithms.
• Proficiency with software engineering best practices for version control, code review, testing, documentation and CI/CD.
• Excellent communication skills, strong team orientation and a drive for operational excellence.
• Experience testing and productionising quantitative models (e.g., models relating to prediction, optimization, uncertainty quantification or performance attribution)

In addition to the above, the following skills are not necessary for application, though highly advantageous for this role: