Senior Quant Risk Modeller

BKW offers forward-looking total solutions in the areas of energy, buildings and infrastructure - internationally and in partnership. With around 12,000 employees, we build modern grids, generate renewable energy and realise energy-efficient buildings. We are looking for passionate people to join us in making a contribution to the society and environment of tomorrow. Become part of the BKW network and join us in creating living spaces worth living in!

80-100%

You combine quantitative depth with practical market understanding and develop robust risk and valuation models for trading, asset portfolios, and Group-wide risk topics across dynamic energy and commodity markets.

• You further develop quantitative risk and valuation models across asset, trading, and sales portfolios as well as broader Group risk topics
• Developing stochastic power price models and quantitative approaches for complex energy and commodity markets forms a key part of your day-to-day work
• You ensure regular calibration, backtesting, and benchmarking of models with a strong focus on transparency, robustness, and model governance
• Together with traders, originators, analysts, and risk managers, you contribute to market-consistent valuation approaches and risk assessments for complex portfolio positions
• Quantitative insights and risk analytics are prepared by you for Risk Committees, senior management, and other key stakeholders in a clear and actionable way
• You help shape scalable and maintainable modelling, data, and reporting solutions while contributing to the evolution of the analytical tech landscape

• Several years of experience in quantitative modelling, risk management, or commodity trading within energy markets provide the foundation for your contribution
• You have hands-on experience developing and implementing risk, pricing, or valuation models in fast-moving market environments
• Complex dynamics across power, gas, and broader commodity markets can be analysed by you in a structured and commercially relevant way
• Strong Python and SQL skills, combined with modern analytical and software engineering practices, allow you to build robust quantitative solutions
• You navigate evolving technologies, processes, and market requirements with a pragmatic and solution-oriented mindset
• Collaboration across quantitative, commercial, and risk-focused teams comes naturally to you, and you communicate confidently with both technical and non-technical stakeholders