Job Description

Second Foundation is a global energy trading company with around 370 employees across locations in Prague HQ (CZ), Zug (CH), Mainz (DE), Berlin (DE), Charlotte (USA), and Tokyo (JP). We specialize in the physical trading of electricity in 21 markets across Europe, North America, and Asia. With a strong focus on sustainable energy markets, our competitive edge lies in blending exceptional talent, innovative technology, and a deep understanding of the evolving energy landscape.

Our team includes world-class traders and analysts, supported by experts in mathematics, physics, data science, and software engineering. Together, we design and continuously improve a state-of-the-art trading platform with mathematical models.

What would you work on?

• Continuous improvement of existing predictive models and their adjustment in fast-evolving markets.
• Development of new strategies and their adaptation to new countries and exchanges.
• Enhancement of our algorithmic trading strategies.
• Cooperation with other teams including data and DevOps engineers, developers, and traders.
• Integrating our trading strategies with physical assets.

What makes you a great candidate?

• Degree in Mathematics, Physics, Computer Science, or a related discipline.
• Experience with data analysis, machine learning, Python, and its data science toolkit.
• Passion for developing and working with autonomous trading systems.
• Excellent hard skills, fast pragmatic thinking, and coding.
• Curiosity, open mind, and ability to solve ambiguously defined real-life tasks.
• Fluency in English.

What do we offer?

• 20 days of paid vacation (in addition to national holidays).
• Flexible working hours and home office options.
• Competitive salary with a performance-based bonus structure.
• Latest tech tools: high-end phone and laptop provided to support your productivity.
• Exciting work with a talented team in algorithmic trading.
• Short decision-making paths and rapid development opportunities.
• Training budget to support your professional development and growth.