Risk Manager (Energy Modelling & Simulation) in Trading (m/f/d)

Risk Manager (Energy Modelling & Simulation) in Trading (m/f/d)

Why The Mobility House?

• Help shape our vision of an emission-free energy and mobility future
• High level of responsibility and rapid development in a growing and innovative company
• Open, diverse & international team
• Flexible working hours and additional vacation days
• Mobile working from home and 20 days in other European countries
• Choice between the latest Apple and Dell IT equipment
• Wellpass membership
• Lease of your preferred car and bike via FINN or JobRad
• Modern office with good public transport connections

Responsibilities

• Understand the nature of conventional linear products in the energy sector (e.g., forward base) and basics of financial options. Evaluate the worth of standard options (put, call, etc.) and their combinations (e.g., collar).
• Identify, evaluate, and report risks resulting from trading activities of flexible assets across European electricity markets.
• Monitor, assess, and track market risks such as price, volume, and volatility risks using VaR, PaR, stress tests, and scenario analysis.
• Develop and maintain risk models for trading portfolios and structured products (e.g., tolling).
• Develop, improve, and implement simulation and backtesting models to quantitatively assess revenue potential of flexible assets (batteries, EV fleets) in energy markets.
• Test and validate new strategies and provide recommendations to senior management.

Who you are

• Background in a quantitative field such as Finance, Economics, Mathematics, Statistics, Physics, or related disciplines.
• Experience in risk management, quantitative analysis, or trading roles—preferably in energy, banking, financial services, or commodities sectors.
• Understanding of risk measurement techniques (VaR, PaR, stress testing, scenario analysis), portfolio modeling, and asset optimization.
• Knowledge of derivatives, structured products, and trading strategies (hedging, tolling contracts).
• Strong analytical skills, precision in data analysis, and ability to translate complex data into actionable insights.
• Proficiency in Python or SQL; familiarity with backtesting and model validation is a plus.
• Fluent in English; German or other languages are a plus.

Join Us

We value diversity and welcome applicants regardless of origin, gender, age, sexual orientation, religion, or disability. We look forward to your application and to achieving great things together.

Our mission is to shape an emission-free energy and mobility future by integrating vehicle batteries into the power grid through intelligent charging and energy solutions. Founded 15 years ago by Thomas Raffeiner, our company now employs over 350 people across Munich, Zurich, Belmont (CA), Paris, and Singapore. Join us in building the future!