Senior Data Scientist/ Simulation: Flexibility and energy markets (m/f/d)

The Mobility House GmbH; München; Hybrid; EUR 50.000 - 90.000; Vollzeit

Zusammenfassung

Ein innovatives Unternehmen sucht einen engagierten Fachmann, der die Zukunft der emissionsfreien Energie und Mobilität mitgestalten möchte. In dieser spannenden Rolle arbeiten Sie im Bereich Power Trading und sind verantwortlich für die Modellierung, Simulation und Optimierung unseres Portfolios bestehender und zukünftiger Assets. Sie werden eng mit verschiedenen Teams zusammenarbeiten, um datengestützte Entscheidungen zu treffen und innovative Produkte für unsere Kunden zu entwickeln. Wenn Sie eine Leidenschaft für Energiemärkte und Datenwissenschaft haben, ist dies die perfekte Gelegenheit, Ihre Fähigkeiten in einem dynamischen und wachsenden Umfeld einzusetzen.

Leistungen

Flexibles Arbeiten

Zusätzliche Urlaubstage

Homeoffice-Möglichkeiten

Wellpass-Mitgliedschaft

JobRad-Leasing

Moderne IT-Ausstattung

Gute Anbindung an öffentliche Verkehrsmittel

Qualifikationen

• Mehrjährige Erfahrung in Energiemarkt- und Risikomodellierung.
• Starke Kenntnisse in Datenanalyse und mathematischer Optimierung.

Aufgaben

• Modellierung und Simulation des Wertpotenzials unserer Portfolio-Assets.
• Entwicklung und Implementierung von Simulations- und Backtesting-Tools.

Kenntnisse

Datenanalyse

Optimierung

Maschinelles Lernen

Teamarbeit

Softwareentwicklung

Englischkenntnisse

Kenntnisse in Energiemärkten

Ausbildung

Abschluss in Energieökonomie

Abschluss in Betriebswirtschaft

Abschluss in Finanzwesen

Tools

Python

AWS

REST-APIs

Jobbeschreibung

Why The Mobility House?

• You have the opportunity to be part of our vision to shape a future of emission-free energy and mobility together, by monetizing the stationary batteries and batteries in electric vehicles (EVs) in the European, US and some Asian power markets.
• Working at the forefront of (small) asset aggregation and steering through leading-edge technology as well as optimizing their flexibility in the energy and power markets.
• You get a high level of responsibility from day one and rapid career development in a fast-growing, innovative company.
• You work in a growing open, diverse, and highly motivated team.
• Flexible working hours, additional vacation days, and remote working options.
• You get the latest IT equipment to make your workday easier.
• A Wellpass membership to keep you fit and healthy.
• The option to lease your dream bike through JobRad.
• A modern office with excellent public transport connections.
• And much more!

What you do

• You work in the power trading department and model, back-test and simulate the value potential of our existing and future portfolio (i.a. batteries and renewable energies) in different energy markets and flexibility services.
• Develop, improve and implement our simulation and backtesting tools to quantitatively assess revenue potential of flexibility in different markets to enable pricing.
• Build and improve forecasts (e.g. price) or signals that can be used in trading to improve trading performance.
• Test and validate new strategies and derive recommendations for senior management.
• Support Sales and Risk Management departments to enable data-driven decision-making and customer acquisition.
• Collaborate closely with Trading and Product management, building the bridge to develop cutting-edge products and services for our clients by developing new functionalities or integration of new use cases.
• Management and optimization of portfolio positions, asset constraints considering market conditions and corporate objectives.
• Close collaboration with the Risk Management and Market Analytics teams to enhance trading decisions.

Who you are

• You have a degree in energy economics, business administration, finance, or a related field. Candidates with different trading backgrounds or candidates with data science experience in energy or financial markets but no economics degree are also welcome.
• You have several years of experience in energy market and/or risk modelling, asset optimization or similar and a proven track record of successfully applying optimization and data science methods (e.g. machine learning).
• Knowledge of energy trading markets, market mechanisms and regulatory requirements is a plus.
• You have experience in solving real-world problems with data science methods, mathematical optimization, or scientific computing, delivering value in production.
• You bring proficiency in software development and software practices (e.g. testing, code quality, monitoring), with strong expertise in Python.
• Ideally, you have experience working with databases, REST-APIs and cloud-native infrastructure (e.g. AWS).
• You are a team player with the ability to thrive in a dynamic, results-oriented environment.
• You are fluent in English - written and spoken – the ability to speak and read German is a big plus.