Job
- Level
- Erfahren
- Job Feld
- Data, Application
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- München
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du eine umfassende Vorhersagepipeline für Solarenergienutzung, implementierst datengetriebene Modelle und übersetzt diese in Handelsstrategien, um die Performance im dynamischen Energiemarkt zu optimieren.
Job Technologien
Deine Rolle im 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 on 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 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.
- Play a key role in scaling our predictive modeling frameworks to new European markets as co-location expands.
Unsere Erwartungen an dich
Qualifikationen
- 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 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).
- 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).
Erfahrung
- 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.
Unser Angebot
- 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.
Benefits
Gesundheit, Fitness & Fun
Mehr Netto
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
The Mobility House GmbH
Eine emissionsfreie Energie- und Mobilitätszukunft zu gestalten – das ist das Ziel von The Mobility House. Unsere Technologie verbindet die Automobil- und Energiebranche. Wir integrieren durch intelligente Lade- und Energielösungen Fahrzeugbatterien ins Stromnetz.
Description
- Unternehmensgröße
- 50-249 Employees
- Gründungsjahr
- 2009
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Energiewirtschaft, Umwelt
Quantitative Energy Analyst
- Ort
- München
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
