Job
- Level
- Experienced
- Job Field
- Data, Application
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop a comprehensive solar generation forecasting pipeline, implement data-driven models, and translate these into trading strategies to enhance performance in the dynamic energy market.
Job Technologies
Your role in the team
- Design, build, and deploy our end-to-end solar generation forecasting pipeline, integrating Numerical Weather Prediction (NWP) outputs (e.g., ECMWF, DWD), site-specific metadata, panel degradation curves, and live telemetry feeds.
- Partner with the Trading Platform team to define concrete data engineering requirements, ensuring high-throughput, low-latency pipelines and infrastructure.
- Establish robust forecast validation frameworks and KPIs to drive continuous model improvements.
- Develop predictive models that capture the complex, weather-driven relationships between renewable generation peaks and intraday spot price dynamics.
- Translate forecasts into systematic trading signals that maximize intraday continuous (IDC) trading performance and mitigate market exposure risks.
- Contribute to our stochastic dynamic programming framework for optimal BESS and co-located asset dispatch.
- Formulate, backtest, and deploy high-fidelity quantitative signals directly into our algorithmic trading engine.
- Work closely with our quantitative Trading Desk, actively reviewing, auditing, and improving our collective modeling approaches.
- Seamlessly translate complex mathematical outputs into high-conviction, actionable insights for the Trading Desk, and coordinate system integrations with the Platform team.
- Spielen Sie eine Schlüsselrolle bei der Skalierung unserer prädiktiven Modellierungsframeworks auf neue europäische Märkte, während die Co-Location expandiert.
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Our expectations of you
Qualifications
- M.Sc. or Ph.D. in a highly quantitative discipline (Statistics, Mathematics, Physics, Data Science, Econometrics, or similar).
- Proficiency in processing multi-dimensional and large-scale datasets (using data manipulation tools like pandas/polars, numpy, JAX or xarray) combined with sound data validation and time-series backtesting practices.
- Proven ability to write clean, modular, and testable code, successfully transitioning models from development notebooks into live production environments.
- Understanding of physical and financial European power market mechanics (Day-Ahead, Intraday/XBID, and Ancillary Services/Balancing).
- Proven ability to work autonomously, think critically, and drive complex projects end-to-end.
- Fluent in English (both written and spoken).
- Understanding of solar irradiance modelling and PV yield estimation.
- Exposure to mathematical programming (MILP, Stochastic Dynamic Programming, or Model Predictive Control) using algebraic modeling tools (e.g., Pyomo, CVXPY) and professional solvers (e.g., Gurobi).
Experience
- 3+ years of experience in quantitative modeling in energy or an adjacent field, on advanced forecasting, statistical regression, or machine learning frameworks (using tools like scikit-learn, statsmodels, Nixtla, Darts or PyTorch).
- Experience working with raw meteorological and NWP data (ECMWF, DWD, ERA5).
- Experience building short-term trading signals or price forecasts (e.g., intraday price spreads, imbalance pricing) in volatile power markets.
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What we offer
- 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.
- Subsidy for Deutschlandticket job.
- Wellpass membership.
- Lease of your preferred car and bike via FINN or JobRad.
- Modern office with good public transport connections.
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Benefits
Health, Fitness & Fun
More net
- 📱Company Phone for Private Use
- 💻Company Notebook for Private Use
- 🍰Employee Stock Option
- 👴🏻Company Retirement Provision
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
The Mobility House GmbH
The Mobility House is working to create a future without emissions from energy and mobility. Our technology connects the automotive and energy industries. We integrate vehicle batteries into the power grid through smart charging and energy solutions.
Description
- Company Size
- 50-249 Employees
- Founding year
- 2009
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Power Sector, Economy
Quantitative Energy Analyst
- Location
- Munich
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
