Job
- Level
- Senior
- Job Feld
- Data, Application
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- 95.000 bis 115.000€ Brutto/Jahr
- Ort
- München
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Position entwickelst du Algorithmen zur Optimierung des Handels mit Flexibilitäten aus Batterieportfolios, von der Forschung bis zur Implementierung in realen Systemen und förderst die Zusammenarbeit im Team.
Job Technologien
Deine Rolle im Team
- 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.
Unsere Erwartungen an dich
Ausbildung
- University degree in a data-driven or analytical field (Computer Science, Mathematics, Physics, Statistics, or a related quantitative discipline).
Qualifikationen
- 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.
- 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.
- Proven track record of taking models from research into reliable production on AWS (or comparable cloud).
Erfahrung
- 5+ years applied data science, with significant time spent developing trading algorithms in the energy or financial sectors.
- 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.
- Direct experience with energy trading, especially for the flexibility of battery storage systems.
- Experience with both Machine Learning and mathematical optimization development.
- Experience designing or owning real-time or near-real-time analytics workflows.
Unser Angebot
- 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.
Benefits
Gesundheit, Fitness & Fun
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Flexa
FLEXA ist ein renommierter Hersteller von Kabelschutzsystemen, der seit vielen Jahren in Hanau-Steinheim, Deutschland, tätig ist. Das Unternehmen verfügt über eigene Entwicklungs-, Produktions- und Logistikprozesse und bietet eine Vielzahl von Schutzschlauch- und Kabelschutzlösungen für industrielle Anwendungen sowie den technischen Handel an.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Onsite
- Branche
- Industrie, Produktion