Why The Mobility House?
- Take responsibility and join us in building an emission-free world of energy and mobility.
- Look forward to exciting tasks, plenty of scope to shape your work, and endless opportunities to grow beyond your current limits.
- Join an open, diverse, and international team that brings together a wide range of perspectives.
- Work or life? Have both! Flexible working hours, half a day off on both 24.12. and 31.12., and mobile work options ensure maximum flexibility. And for a change of scenery: up to 20 days of mobile work from other European countries per year.
- Family comes first: If your child falls ill, you get up to 15 days of leave per year with full pay.
- Choose between modern Apple or Dell equipment.
- We subsidize your "Deutschlandticket" (Germany-wide transit pass) to make your commute easier.
- We support your health and well-being through Wellpass, our work-life portal, and various other sports and wellness offers.
- Plan for the future with peace of mind thanks to our company pension scheme.
- After your probationary period, you can lease your dream car via FINN or your dream bike via JobRad.
- An office where you’ll feel right at home: modern, well-connected, and dog-friendly-you’re welcome to bring your four-legged friend along.
What you do
- Developing and backtesting algorithmic bidding strategies for Day-Ahead, Intraday and reserve markets (FCR, aFRR, mFRR)
- Building and improving quantitative models for asset dispatch, price forecasting, SoC
- optimisation and cross-market arbitrage
- Analysing market data to identify regime shifts, pricing inefficiencies and new revenue
- opportunities
- Working closely with traders to translate model output into live strategy adjustments
- Pushing the quality of our research process - from data pipelines and feature engineering to strategy evaluation frameworks
Who you are
- A strong quantitative background - whether from energy trading, finance, engineering, mathematics, physics or a related field
- Solid Python skills: you build production-ready code, not just notebooks
- Experience in time-series analysis, statistical modelling and backtesting - you know how to avoid overfitting and how to evaluate strategy robustness
- An understanding of energy market dynamics is a strong plus; what matters most is the ability to learn them fast and think in market structures
- Clear analytical thinking and genuine curiosity - you ask "why does this model work?” not just "does it work?”
- Fluent English, German is a plus