Quant Trader / Analyst (m/f/d) - #2739191

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

Are you a good fit for us?

Diversity enriches our team and makes us stronger. Regardless of origin, gender, age, sexual orientation, religion, or any disability – everyone is welcome here! We look forward to receiving your application and achieving great things together.