Senior Quantitative Developer - Energy Trading (d/f/m)

Full opportunity description

Short Facts• Location: Munich, Germany• Employment Type: Full-Time, indefinite term• Salary Range: € 95,000 – 115,000 per year gross, depending on seniority level• Office First work setup• Language Requirement: C1 Level English

Your Role We are looking for a Quantitative Developer to tackle the software, data, and integration challenges across our Virtual Power Plant (VPP) ecosystem.You will drive and own the roadmap for developing algorithmic execution strategies in the German intraday power market. As our VPP infrastructure matures, you will steadily increase your focus on research on execution-price improvement and market-impact modelling.Your software-engineering work will centre on architecture design, testing, and project coordination. Your Responsibilities• Contribute to the technical vision for how Flexa trades flexibility across energy markets and hardware assets, and help make it a reality• Identify new market opportunities and residential flexibility value to shape the data science roadmap and next-gen algorithms• Champion engineering rigor and best practices to foster an open, data-driven engineering culture.• Implement, deliver, and monitor well-engineered, data-driven solutions in our real-time production systems • Be part of a cross-functional team of data scientists, software engineers, and other teams across Flexa's partner ecosystem • Research, develop, and productionise algorithms and models that optimise financial returns from trading the flexibility of Flexa’s residential battery portfolio• Drive the delivery of complex, trading strategy projects from research to production deployment and monitoring — anticipating dependencies and resolving them early• Opportunity to guide and develop more junior colleagues through design review, code review, and structured feedback Your ProfileMandatory Requirements• University degree in a data-driven or analytical field (Computer Science, Mathematics, Physics, Statistics, or a related quantitative discipline)• 5+ years applied data science and/or quant experience, with significant time spent developing trading algorithms in the energy or financial sectors• Proficiency in Python and software engineering practices: testing, code quality, code review, CI/CD, monitoring, and modular code design• Cross-functional collaboration mindset across data scientists, software engineers, and partner-company stakeholders• Deep understanding of trading mechanics: price formation, market microstructure, risk, and the constraints that turn a backtest into a live strategy• Strong knowledge of probability and statistics, incl. time-series data processing, analysis, and forecasting, with a focus on streaming settings• Excellent English communication and interpersonal skills• Independent research experience, excellent analytical skills with strong attention to detail, and the ability to manage multiple tasks in a fast-paced team environment are essential.Skills to Set You Apart• Experience designing or owning real-time or near-real-time analytics workflows• Direct experience with energy trading, especially for the flexibility of battery storage systems• Expertise in designing algorithmic trading strategies and modelling market impact within intraday continuous markets• Substantial background in forecasting intraday price movements, modelling order book dynamics, and market microstructure• Experience with both Machine Learning and mathematical optimization development• Proven track record of taking models from research into reliable production on AWS (or comparable cloud)At Flexa, we are committed to diversity — of backgrounds and experiences. You don’t need 100% of the listed requirements to apply. Benefits• Virtual Share Options: we offer virtual share options to all our employees• Professional Development: annual development budget of €3,000 for coachings, trainings, books, and similar• Health & Sport Subsidy: company-subsidised sports facilities membership, or Public Transportation Subsidy• Lunch/Dinner Allowance Vouchers: allowance for meals on working days as digital meal vouchers• Work Equipment: MacBook or Windows laptop, iPhone (also for private use), and an ergonomic workplace setup with company-funded access to leading AI developer tools• Regular Team Events: knowledge sessions, afterwork, sports, offsites, Halloween, Pride Month, and more A Short Note from Your Future LeadWilli Richert, VP of Technology — flexa

Hi there! I'm Willi, VP of Technology at flexa. I've spent the last 15 years building engineering teams around systems that have to make good decisions fast and at scale. Most recently at Lyft, where I led the mapping organization — 30+ engineers across five countries — and we moved more than 96% of rides off Google Maps onto our own mapping product. Before that I worked on machine learning and conversational AI at Microsoft Bing, and I did a PhD on learning in heterogeneous robot groups, which is a long way of saying that distributed decision-making has held my attention for a while.

What pulled me to flexa is that it's the same class of problem with something physical at the other end. We dispatch energy of the Enpal customer fleet in real time against energy markets. If our infrastructure is a few seconds late or a few percent off, customers lose money and the grid gets less flexibility than it could have had. That makes cloud engineering a first-order product concern here rather than a supporting function — which is why this role sits close to the decisions that actually matter.

How I work: I'd rather hand you the whole problem, context and constraints included, than a ticket. I care that engineers can see the consequences of what they build, and I'll be direct with feedback and expect the same back — the fastest way to lose a year is for everyone to stay polite about an architecture that isn't working.

You won't find everything already built. Some of it is greenfield, some of it needs replacing, and you'll have real influence over which is which. If that sounds like your kind of problem, I'd like to hear from you — and if you're not sure your profile is a perfect match, apply anyway and let's talk.

Looking forward to meeting you, Willi Your Contact in our People Team

Your Responsibilities

• Contribute to the technical vision for how Flexa trades flexibility across energy markets and hardware assets, and help make it a reality Contribute to the technical vision for how Flexa trades flexibility across energy markets and hardware assets, and help make it a reality • Identify new market opportunities and residential flexibility value to shape the data science roadmap and next-gen algorithms Identify new market opportunities and residential flexibility value to shape the data science roadmap and next-gen algorithms • Champion engineering rigor and best practices to foster an open, data-driven engineering culture. Champion engineering rigor and best practices to foster an open, data-driven engineering culture. • Implement, deliver, and monitor well-engineered, data-driven solutions in our real-time production systems Implement, deliver, and monitor well-engineered, data-driven solutions in our real-time production systems • Be part of a cross-functional team of data scientists, software engineers, and other teams across Flexa's partner ecosystem Be part of a cross-functional team of data scientists, software engineers, and other teams across Flexa's partner ecosystem • Research, develop, and productionise algorithms and models that optimise financial returns from trading the flexibility of Flexa’s residential battery portfolio Research, develop, and productionise algorithms and models that optimise financial returns from trading the flexibility of Flexa’s residential battery portfolio • Drive the delivery of complex, trading strategy projects from research to production deployment and monitoring — anticipating dependencies and resolving them early Drive the delivery of complex, trading strategy projects from research to production deployment and monitoring — anticipating dependencies and resolving them early • Opportunity to guide and develop more junior colleagues through design review, code review, and structured feedback Opportunity to guide and develop more junior colleagues through design review, code review, and structured feedback

Mandatory Requirements

• University degree in a data-driven or analytical field (Computer Science, Mathematics, Physics, Statistics, or a related quantitative discipline) University degree in a data-driven or analytical field (Computer Science, Mathematics, Physics, Statistics, or a related quantitative discipline) • 5+ years applied data science and/or quant experience, with significant time spent developing trading algorithms in the energy or financial sectors 5+ years applied data science and/or quant experience, with significant time spent developing trading algorithms in the energy or financial sectors • Proficiency in Python and software engineering practices: testing, code quality, code review, CI/CD, monitoring, and modular code design Proficiency in Python and software engineering practices: testing, code quality, code review, CI/CD, monitoring, and modular code design • Cross-functional collaboration mindset across data scientists, software engineers, and partner-company stakeholders Cross-functional collaboration mindset across data scientists, software engineers, and partner-company stakeholders • Deep understanding of trading mechanics: price formation, market microstructure, risk, and the constraints that turn a backtest into a live strategy Deep understanding of trading mechanics: price formation, market microstructure, risk, and the constraints that turn a backtest into a live strategy • Strong knowledge of probability and statistics, incl. time-series data processing, analysis, and forecasting, with a focus on streaming settings Strong knowledge of probability and statistics, incl. time-series data processing, analysis, and forecasting, with a focus on streaming settings • Excellent English communication and interpersonal skills Excellent English communication and interpersonal skills • Independent research experience, excellent analytical skills with strong attention to detail, and the ability to manage multiple tasks in a fast-paced team environment are essential. Independent research experience, excellent analytical skills with strong attention to detail, and the ability to manage multiple tasks in a fast-paced team environment are essential.

Benefits

• Virtual Share Options: we offer virtual share options to all our employees Virtual Share Options: we offer virtual share options to all our employees • Professional Development: annual development budget of €3,000 for coachings, trainings, books, and similar Professional Development: annual development budget of €3,000 for coachings, trainings, books, and similar • Health & Sport Subsidy: company-subsidised sports facilities membership, or Public Transportation Subsidy Health & Sport Subsidy: company-subsidised sports facilities membership, or Public Transportation Subsidy • Lunch/Dinner Allowance Vouchers: allowance for meals on working days as digital meal vouchers Lunch/Dinner Allowance Vouchers: allowance for meals on working days as digital meal vouchers • Work Equipment: MacBook or Windows laptop, iPhone (also for private use), and an ergonomic workplace setup with company-funded access to leading AI developer tools Work Equipment: MacBook or Windows laptop, iPhone (also for private use), and an ergonomic workplace setup with company-funded access to leading AI developer tools • Regular Team Events: knowledge sessions, afterwork, sports, offsites, Halloween, Pride Month, and more Regular Team Events: knowledge sessions, afterwork, sports, offsites, Halloween, Pride Month, and more

Short Facts

• Location: Munich, Germany • Employment Type: Full-Time, indefinite term • Salary Range: € 95,000 – 115,000 per year gross, depending on seniority level • Office First work setup • Language Requirement: C1 Level English Your Role We are looking for a Quantitative Developer to tackle the software, data, and integration challenges across our Virtual Power Plant (VPP) ecosystem. You will drive and own the roadmap for developing algorithmic execution strategies in the German intraday power market. As our VPP infrastructure matures, you will steadily increase your focus on research on execution-price improvement and market-impact modelling. Your software-engineering work will centre on architecture design, testing, and project coordination.

Skills to Set You Apart

• Experience designing or owning real-time or near-real-time analytics workflows Experience designing or owning real-time or near-real-time analytics workflows • Direct experience with energy trading, especially for the flexibility of battery storage systems Direct experience with energy trading, especially for the flexibility of battery storage systems • Expertise in designing algorithmic trading strategies and modelling market impact within intraday continuous markets Expertise in designing algorithmic trading strategies and modelling market impact within intraday continuous markets • Substantial background in forecasting intraday price movements, modelling order book dynamics, and market microstructure Substantial background in forecasting intraday price movements, modelling order book dynamics, and market microstructure • Experience with both Machine Learning and mathematical optimization development Experience with both Machine Learning and mathematical optimization development • Proven track record of taking models from research into reliable production on AWS (or comparable cloud) Proven track record of taking models from research into reliable production on AWS (or comparable cloud) At Flexa, we are committed to diversity — of backgrounds and experiences. You don’t need 100% of the listed requirements to apply.

Über uns

Flexa, a Joint Venture between Enpal and Entrix, is chartered with delivering a Virtual Power Plant (VPP) delivering exceptional energy cost savings while supporting the transition to a 100% renewable electricity future. The combination of delivering complete residential energy systems at great cost with savvy market participation in several revenue streams sets us up to deliver real world customer savings while improving customer satisfaction enjoying the advantages of a fully electrified and energy producing home. Through a deep integration into the installed hardware and a direct connection to the customer interfaces, Flexa’s solution controls the energy assets (such as EV, heat pump, home storage and others) of the entire Enpal energy community with an exceptional level of accuracy, speed, transparency, and thus customer satisfaction. With intelligent real-time dispatching algorithms, Flexa maximizes Enpal customers’ usable flexibility and its returns on energy markets including costs, such as grid fees, asset degradation.

• University degree in a data-driven or analytical field (Computer Science, Mathematics, Physics, Statistics, or a related quantitative discipline) University degree in a data-driven or analytical field (Computer Science, Mathematics, Physics, Statistics, or a related quantitative discipline) • 5+ years applied data science and/or quant experience, with significant time spent developing trading algorithms in the energy or financial sectors 5+ years applied data science and/or quant experience, with significant time spent developing trading algorithms in the energy or financial sectors • Proficiency in Python and software engineering practices: testing, code quality, code review, CI/CD, monitoring, and modular code design Proficiency in Python and software engineering practices: testing, code quality, code review, CI/CD, monitoring, and modular code design • Cross-functional collaboration mindset across data scientists, software engineers, and partner-company stakeholders Cross-functional collaboration mindset across data scientists, software engineers, and partner-company stakeholders • Deep understanding of trading mechanics: price formation, market microstructure, risk, and the constraints that turn a backtest into a live strategy Deep understanding of trading mechanics: price formation, market microstructure, risk, and the constraints that turn a backtest into a live strategy • Strong knowledge of probability and statistics, incl. time-series data processing, analysis, and forecasting, with a focus on streaming settings Strong knowledge of probability and statistics, incl. time-series data processing, analysis, and forecasting, with a focus on streaming settings • Excellent English communication and interpersonal skills Excellent English communication and interpersonal skills • Independent research experience, excellent analytical skills with strong attention to detail, and the ability to manage multiple tasks in a fast-paced team environment are essential. Independent research experience, excellent analytical skills with strong attention to detail, and the ability to manage multiple tasks in a fast-paced team environment are essential.

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