Staff Quantitative Researcher – Energy Trading (f/d/m) at Entrix GmbH

Munich, Bavaria, Germany -

Full Time

Start Date

Immediate

Expiry Date

22 Sep, 26

Salary

135000.0

Posted On

24 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Quantitative Research, Applied Data Science, Algorithmic Trading, Python, Machine Learning, Mathematical Optimization, Time Series Modelling, Backtesting, Software Engineering, P&L Attribution, Risk Management, Market Microstructure, CI/CD, Mentoring, Energy Trading, Financial Derivatives

Industry

Services for Renewable Energy

Description

Short Facts Join us on our journey at Entrix: We are looking for an experienced Quantitative Researcher to shape how we trade flexibility from our customers' battery assets across European power markets. We operate in markets that run 24/7 (DAA, IDC, aFRR, and others), meaning every model decision we make turns into real positions, real risk, and real revenue. In this role you will guide the next generation of algorithmic trading at Entrix to keep us at the forefront of innovation. Sitting at the intersection of quantitative research and applied data science, you will own the alpha generation pipeline behind our algorithms, from signal research and backtesting through to live trading and P&L attribution. This is a staff-level individual contributor role where you will spend your time on the hardest problems in the team: framing ambiguous trading challenges, designing systems that combine machine learning and optimization to deliver impactful results, and mentoring data scientists to raise the bar across the team. As one of the most senior members of the team, you will own the technical vision for our trading algorithms, help drive the team roadmap, and mentor a strong group of individual contributors working on the hardest problems in the European energy transition. Location: Munich, Germany Employment Type: Full-Time, indefinite term Salary Range: € 115.000 - 135.000 per year gross depending on the seniority level Office-first work setup Language Requirement: C1 Level English Your Responsibilities Shape the technical vision and roadmap for our algorithmic trading stack, breaking that vision into work the team can deliver, communicating trade-offs, and driving alignment on methodology, success metrics, and system design. Research, develop, and productize forecasts and strategies that generate alpha by trading flexibility in real-time European energy markets (DAA, IDC, aFRR, etc.), combining ML and optimization techniques to make 24/7 trading decisions. Enhance our the backtesting, simulation, and P&L attribution capabilities that turn research into live strategies, with rigorous overfitting controls, risk-adjusted evaluation, and automated testing. Foster technical excellence across the team by mentoring data scientists through design and code review, and by championing engineering rigor in code quality, observability, and reproducibility. Own the delivery of complex, ambiguous projects from research to production. Your Profile Mandatory Requirements 7+ years industry experience in quantitative research or applied data science, with significant time developing live trading algorithms in energy or financial markets. Proven track record of P&L contribution from strategies you researched, backtested, and shipped to live trading. Deep understanding of trading mechanics: price formation, market microstructure, execution, slippage, risk, and position sizing. Strong fundamentals in time series modelling under non-stationarity and regime shifts, with disciplined backtesting practice (risk-adjusted metrics, overfitting controls, walk-forward validation). Strong expertise in python and software engineering practices: testing, code review, CI/CD, monitoring, modular code design, and taking machine learning and/or optimization models from research into production systems. Track record of mentoring junior team members and raising the technical bar of the team. University degree in Computer Science, Mathematics, Physics, or a related quantitative field. Excellent English communication and interpersonal skills. Skills to Set You Apart Direct experience trading battery storage, flexibility, or other assets in European power markets. Experience combining machine learning (forecasting, signal generation) with mathematical optimization (LP, MILP, stochastic) in a single production-level system. Experience with financial derivatives (especially options), market making, or HFT systems. Your Benefits Competitive Compensation Package: Including salary, benefits, and potential for growth. Professional Development: Annual development budget of €3,000 for coaching, training, books, etc. Health & Sport Subsidy: Company-subsidized sports facility memberships. Public Transportation Subsidy: Monthly subsidy for your public transport ticket. Lunch/Dinner Allowance Vouchers: Digital meal vouchers for workdays. Work Equipment: Your choice of MacBook or Windows Laptop and ergonomic workplace setup. Regular Team Events: Knowledge sessions, afterwork hangouts, sports events, and company offsites. A Short Note from Your Future Lead I’m Austin Todd, Data Science Manager at Entrix. I lead our team of Data Scientists developing innovative algorithms for energy trading and optimization. In my career I’ve had many exciting challenges and opportunities, with a consistent focus on developing innovative technical solutions in the energy industry and facilitating a transition to green energy solutions. Here’s a quick snapshot of my journey so far: Data Science Manger @ sonnen (2021–2026): Built and scaled cross-functional data science teams, shaping the company vision for data science and AI development. Data Scientist IV @ NREL (2019–2021): Led research & development efforts for data science applications in wind and solar energy, transportation, and data center operations. Lead Data Scientist @ MeteoGroup (2017–2018): Drove the development of ML applications to build risk management tools for energy grid transmission operators. Data Scientist @ Telekom Innovation Labs (2015-2017): Supported new client acquisition for Deutsche Telekom through building of innovative data science solutions. Having spent most of my career building data science applications in the energy industry, I bring both a deep technical knowledge of data science methodology and an understanding of how they can help shape the future of industry like energy. As a manager, I help my teams by fostering innovation and research while driving rapid development that has a meaningful impact. At Entrix, we believe great tech starts with great people. Collaboration, creativity, and an unrelenting focus on delivering results are at the heart of everything we do. If you’re ready to work with a team that’s reshaping industries and tackling some of the toughest challenges, I’d love for you to check out our opportunities. Join us, and let’s build something extraordinary together. Looking forward to seeing what we can create. Your Contact in our People Team If you have any questions, feel free to send us an email to talent@entrixenergy.com. We are looking forward to receiving your application! About us Wir sind Energiehändler und Marktführer für die Vermarktung von flexiblen Energiesystemen in Europa. Entrix bietet zusätzlich zu Stromhandel basierend auf künstlicher Intelligenz, innovative Produkte zu langfristiger Umsatzabsicherung und netzdienlichen Steuerung von Batteriespeichern. Mit unserem Rundum-Sorglos-Paket begleiten wir unsere Kunden über alle Projektphasen von der technischen Auslegung und Integration, über die kontinuierliche Optimierung bis zur 24/7 Betreuung im laufenden Betrieb – inklusive Anpassung an Marktveränderungen und Erschließung neuer Erlöspotenziale. Mit über 2,3 GW und 38 Batteriespeichern unter Vertrag ist Entrix in Deutschland, Polen, Italien, Spanien und Portugal aktiv und mit Büros in München, Warschau, Mailand und Madrid vertreten. Entrix optimiert als Pionier seit 2022 einen der ersten Batteriegroßspeicher in Deutschland und ist heute der bevorzugte Partner führender Infrastrukturunternehmen wie Encavis, MEAG (Munich Re) sowie eine Vielzahl lokaler Stadtwerke.

Responsibilities

Lead the technical vision and roadmap for algorithmic trading strategies to optimize battery assets in European energy markets. Develop alpha-generating forecasts and mentor data scientists to improve engineering rigor and model performance.