Quantitative Energy Analyst / Forecasting & Stochastic Optimization(m/f/d)

München

Full-time

Permanent employee

Why The Mobility House?

Help shape our vision of an emission-free energy and mobility future
High levelof responsibility and rapid development in a growing and innovative company
Open, diverse & international team
Flexible working hours and additiona lvacation 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
and much more!

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What you do

Forecasting & Stochastic Optimization
Solar forecasting

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 on model improvements.

Price & market signal forecasting

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.

Stochastic optimization & algo signals

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 our quantitative Trading Desk, actively reviewing, auditing, and improving our collective modeling approaches.

Cross-functional collaboration

Seamlessly translate complex mathematical outputs into high-conviction, actionable insights for the Trading Desk, and coordinate system integrations with the Platform team.
Play a key role in scaling our predictive modeling frameworks to new European markets as co-location expands.

Who you are

M.Sc. or Ph.D. in a highly quantitative discipline (Statistics, Mathematics, Physics, Data Science, Econometrics, or similar).
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).
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 writing clean, modular, and testable code, taking models successfully 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).

Nice to have:

Experience working with raw meteorological and NWP data (ECMWF, DWD, ERA5).
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 building short-term trading signals or price forecasts (e.g., intraday price spreads, imbalance pricing) in volatile power markets.

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.

Your contact person

Vanessa

career@mobilityhouse.com

Über uns

Eine emissionsfreie Energie- und Mobilitätszukunft zu gestalten – das ist das Ziel von The Mobility House. Dazu verbinden wir mit unserer Technologie die Automobil- und Energiebranche. Wir integrieren durch intelligente Lade- und Energielösungen Fahrzeugbatterien ins Stromnetz. Vor 15 Jahren ist das Ganze aus einer einfachen Idee unseres Gründers Thomas Raffeiner entstanden: Was wäre, wenn man stillstehende Elektroautos als mobile Speicher nutzen könnte? Und ihr Potential so der Energiewirtschaft mit ihrem wachsenden Speicherbedarf zur Verfügung stellt? Damit war die Idee für The Mobility House geboren.

Mit über 350 Mitarbeiter:innen sind wir von den Standorten München, Zürich, Belmont, CA (USA), Paris und Singapur weltweit aktiv. Dabei sind wir laufend auf der Suche nach neuen Gesichtern, die sich wie wir für unsere Vision begeistern können.
Du willst mit uns Teil der Zukunft werden? Dann freuen wir uns über deine Bewerbung.