Job
- Level
- Senior
- Job Field
- Data, Application
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 95.000 to 115.000€ Gross/Year
- Location
- Munich
- Working Model
- Onsite
Job Summary
In this role, you will develop algorithms to optimize trading of flexibilities from battery portfolios, managing projects from research to real-time implementation while fostering team collaboration.
Job Technologies
Your role in the 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.
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Our expectations of you
Education
- University degree in a data-driven or analytical field (Computer Science, Mathematics, Physics, Statistics, or a related quantitative discipline).
Qualifications
- 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).
Experience
- 5+ years of 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.
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What we offer
- 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.
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Benefits
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
Flexa
FLEXA is a renowned manufacturer of cable protection systems that has been operating in Hanau-Steinheim, Germany, for many years. The company has its own development, production, and logistics processes and offers a variety of protective hose and cable protection solutions for industrial applications and technical trading.
Description
- Company Type
- Established Company
- Working Model
- Onsite
- Industry
- Industry, Production