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

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.

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.

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.

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.
If you have any questions, feel free to send us an email to talent@entrixenergy.com.
We are looking forward to receiving your application!

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

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