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

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.

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