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

Flexa

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 RESPONSIBILITIES * 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 * 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 ML 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  * Opportunity to guide and develop more junior colleagues through design review, code review, and structured feedback * Be part of a cross-functional team of data scientists, software engineers, and other teams across Flexa's partner ecosystem  YOUR PROFILE Mandatory 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, with significant time spent developing trading algorithms in the energy or financial sectors * 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 * Proficiency in Python and software engineering practices: testing, code quality, code review, CI/CD, monitoring, and modular code design       * Excellent English communication and interpersonal skills * Cross-functional collaboration mindset across data scientists, software engineers, and partner-company stakeholders * 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 * 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 * Experience designing or owning real-time or near-real-time analytics workflows * 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, etc * Health & Sport Subsidy: Company subsidised sports facilities membership or Public Transportation Subsidy: Monthly subsidy for your public transport ticket * Lunch/Dinner Allowance Vouchers: Allowance for meals on working days as digital meal vouchers * Work Equipment: MacBook, an ergonomic workplace setup, and company-funded access to leading AI development tools so you always have the best tools available * Regular Team Events: Knowledge Sessions, Afterwork, Sports, Offsites, Halloween, Pride Month, etc. A SHORT NOTE FROM YOUR FUTURE LEAD Sébastien Schikora - Chief Technology Officer Hi there! I'm Sebastien Schikora, serving as the CTO at Flexa since the beginning. My diverse career journey has provided me with a range of experiences with a deep dive in the energy industry and the functioning of the grid specifically. In the last years, I was: * CTO at KONUX from September 2018 to April 2022, where I played a pivotal role in shaping the company's tech landscape and products. * Sr. Manager at Tesla from November 2015 to July 2018, leading the development of energy storage systems and mobile apps. * Vice President of Product Development at Networked Energy Services (NES) Corporation from October 2014 to November 2015, launching a new company and product line in the grid digitalization space. * At Echelon Corporation,  I held various roles over six years, including Director of Product Management and Development in the Grid Modernization Division. * Before my endeavors in the Energy Industry I was working for Hewlett Packard in the Enterprise Software group for a little over 10 years. I'm all about pushing the boundaries of technology and driving progress in our industry. I spent the majority of my career in the Silicon Valley in California and apply a lot of the methods and drive to my workplace here in Munich.  Our team is the basis of our success, and I'm dedicated to fostering a collaborative, innovative and goal driven work environment. If you're ready to be a part of our international crew and share our vision for groundbreaking tech solutions, I encourage you to explore opportunities within our organization. Thanks for considering joining us, and I look forward to the possibility of working together to achieve remarkable things. Best regards, Sebastien Schikora

Flexa

SHORT FACTS * Location: Munich, Germany * Employment Type: Full-Time, indefinite term * Salary Range: € 95.000 - 115.000 per year gross depending on the seniority level * Office First work setup * Language Requirement: C1 Level English YOUR RESPONSIBILITIES * Research and develop algorithms that optimize utilization in the Virtual Power Plant through smarter aggregation, disaggregation, and dispatch * Model, implement, and iterate on real-time dispatch optimization and control problems for Flexa's residential battery portfolio * Design and run experiments to evaluate dispatch policies and attribute outcomes against forecasts and market behaviour * Take models from research into reliable production: implement, deliver, and monitor well-engineered, data-driven solutions in our real-time systems on AWS * Opportunity to guide and develop more junior colleagues through design review, code review, and structured feedback * Be part of a cross-functional team of data scientists, software engineers, and other teams across Flexa's partner ecosystem  YOUR PROFILE MANDATORY REQUIREMENTS * University degree in a data-driven or analytical field (Operations Research, Applied Mathematics, Computer Science, Physics, Energy Engineering, or similar quantitative discipline) * 5+ years industry experience in applied data science * Mathematical optimization / OR experience. Hands-on with LP/MILP and MPC-style receding-horizon methods       * Strong analytics and experimentation discipline — designing experiments and analysing results carefully, including counterfactual and regret reasoning * Energy domain background — markets, batteries, grid; understanding how the physical asset, the market, and the grid interact * Proficiency in Python and software engineering practices: testing, code quality, code review, CI/CD, monitoring, and modular code design * Proven track record of taking models from research into reliable production on AWS (or comparable cloud) * Excellent English communication and interpersonal skills * Cross-functional collaboration mindset across data scientists, software engineers, and partner-company stakeholders * 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 * Direct experience optimizing battery dispatch, demand response, or aggregated DER portfolios * Hardware or embedded experience, and comfort with real-time / low-latency systems  * General machine learning experience — supervised learning, model evaluation, and knowing when ML is (and isn't) the right tool alongside optimization * Control background — MPC, receding-horizon control, or state-space methods for time-coupled decision-making 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, etc * Health & Sport Subsidy: Company subsidised sports facilities membership or Public Transportation Subsidy: Monthly subsidy for your public transport ticket * Lunch/Dinner Allowance Vouchers: Allowance for meals on working days as digital meal vouchers * Work Equipment: MacBook, an ergonomic workplace setup, and company-funded access to leading AI development tools so you always have the best tools available * Regular Team Events: Knowledge Sessions, Afterwork, Sports, Offsites, Halloween, Pride Month, etc. A SHORT NOTE FROM YOUR FUTURE LEAD Sébastien Schikora - Chief Technology Officer Hi there! I'm Sebastien Schikora, serving as the CTO at Flexa since the beginning. My diverse career journey has provided me with a range of experiences with a deep dive in the energy industry and the functioning of the grid specifically. In the last years, I was: * CTO at KONUX from September 2018 to April 2022, where I played a pivotal role in shaping the company's tech landscape and products. * Sr. Manager at Tesla from November 2015 to July 2018, leading the development of energy storage systems and mobile apps. * Vice President of Product Development at Networked Energy Services (NES) Corporation from October 2014 to November 2015, launching a new company and product line in the grid digitalization space. * At Echelon Corporation,  I held various roles over six years, including Director of Product Management and Development in the Grid Modernization Division. * Before my endeavors in the Energy Industry I was working for Hewlett Packard in the Enterprise Software group for a little over 10 years. I'm all about pushing the boundaries of technology and driving progress in our industry. I spent the majority of my career in the Silicon Valley in California and apply a lot of the methods and drive to my workplace here in Munich.  Our team is the basis of our success, and I'm dedicated to fostering a collaborative, innovative and goal driven work environment. If you're ready to be a part of our international crew and share our vision for groundbreaking tech solutions, I encourage you to explore opportunities within our organization. Thanks for considering joining us, and I look forward to the possibility of working together to achieve remarkable things. Best regards, Sebastien Schikora

OMMAX

WEN WIR SUCHEN: * Du setzt statistische, Machine-Learning- und Generative-AI-Methoden ein, um Geschäftsprobleme zu lösen und umsetzbare Erkenntnisse zu generieren. * Du analysierst und strukturierst komplexe Datensätze und integrierst unstrukturierte Daten sowie GenAI-Ergebnisse in klare Visualisierungen und Storylines. * Du arbeitest eng mit interdisziplinären Teams und Kunden zusammen, um datengetriebene und GenAI-basierte Lösungen zu entwickeln. * Du entwickelst, testest und implementierst Modelle, einschließlich promptbasierter und LLM-gestützter Anwendungen. * Du übersetzt analytische und Generative-AI-Ergebnisse in konkrete Handlungsempfehlungen für Stakeholder. * Du unterstützt weniger erfahrene Teammitglieder und trägst zur Weiterentwicklung von Best Practices bei. WAS DU MITBRINGST: * Du verfügst über einen Bachelor- oder Masterabschluss in einem quantitativen Bereich wie Data Science, Informatik, Mathematik oder Ingenieurwissenschaften. * Du hast 2–6 Jahre Erfahrung in Data Science, Machine Learning oder Advanced Analytics, idealerweise mit Bezug zu Generative AI. * Du verfügst über sehr gute Programmierkenntnisse in Python und kennst ML- und LLM-Frameworks wie Scikit-learn, LangChain oder Hugging Face. * Du hast ein solides Verständnis von Machine-Learning-Methoden und Generative-AI-Anwendungsfällen. * Du kannst in einem kundenorientierten Umfeld arbeiten und komplexe Themen verständlich vermitteln. * Du sprichst fließend Englisch; zusätzliche standortabhängige Sprachkenntnisse sind von Vorteil. WAS DICH ERWARTET: * Dein Impact ist entscheidend: Du gestaltest in einem hochmotivierten & smarten Team in unmittelbarer Zusammenarbeit mit den Gründern & Partnern aktiv die digitale Zukunft und sorgst durch die erfolgreiche Verknüpfung von Strategie und Implementierung für echten Mehrwert. * Dein Einsatz zahlt sich aus! Du profitierst von attraktiven Gehaltspaketen, Beteiligungen am Vertriebserfolg und exklusiven Investmentmöglichkeiten. Zusätzlich fördern wir unsere Top-Talente durch das 'Digital Leaders of Tomorrow' Programm und bieten dir somit weitere spannende Vorteile. * Dein Learning – unser Anliegen: Du wirst ab Tag eins durch vielfältige Entwicklungsangebote auf deiner Journey unterstützt, übernimmst schnell Verantwortung und hast die Möglichkeit mit uns deine individuelle Karriere zu gestalten – mit uns wirst du zum Digital Leader! * Dein Arbeitsumfeld: Du tauchst ein in ein diverses und familienfreundliches Umfeld, mit ausgeprägtem Teamspirit und profitierst von einem flexiblen und hybriden Arbeitsmodell in einem unserer Büros in München, London, Amsterdam, Mailand und Berlin.   * Dein Blick in die Zukunft: Du arbeitest am Puls der Zeit und sammelst wertvolle Einblicke und praktische Erfahrungen mit Fokus auf digitale Geschäftsmodelle und datengetriebene Wertschöpfung in acht zukunftsweisenden Branchen.   * Deine Benefits on top: Freue dich auf regelmäßige Teamevents und gemeinsame Sportsessions, profitiere von einer attraktiven betrieblichen Altersvorsorge, einer exklusiven Fitness- und Wellness-Mitgliedschaft, sowie Mobilitäts- und Essenszuschüsse und vielseitigen weiteren Company Benefits.