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Senior Data Scientist - Trading(m/w/x)
Developing algorithms for financial returns and optimizing trading of residential battery flexibility. 5+ years applied data science and trading algorithm development required. Virtual share options, annual development budget, and health/sport subsidy.
Requirements
- C1 Level English
- University degree in data-driven or analytical field
- 5+ years applied data science
- Significant time developing trading algorithms
- Deep understanding of trading mechanics
- Strong knowledge of probability and statistics
- Time-series data processing, analysis, and forecasting
- Focus on streaming settings
- Proficiency in Python
- Software engineering practices
- Excellent English communication skills
- Excellent interpersonal skills
- Cross-functional collaboration mindset
- Independent research experience
- Excellent analytical skills
- Strong attention to detail
- Ability to manage multiple tasks
- Fast-paced team environment
- Direct experience with energy trading
- Experience with battery storage systems flexibility
- Expertise in designing algorithmic trading strategies
- Modelling market impact in intraday markets
- Substantial background in forecasting intraday price movements
- Modelling order book dynamics
- Substantial background in market microstructure
- Experience with Machine Learning development
- Experience with mathematical optimization development
- Experience designing real-time analytics workflows
- Experience owning real-time analytics workflows
- Experience designing near-real-time analytics workflows
- Experience owning near-real-time analytics workflows
- Proven track record of taking models into production
- Production experience on AWS
Tasks
- Research and develop algorithms for financial returns
- Optimize trading of residential battery flexibility
- Drive complex trading strategy projects to production
- Anticipate and resolve project dependencies early
- Contribute to Flexa's technical trading vision
- Identify new market opportunities and flexibility value
- Shape the data science roadmap and next-gen algorithms
- Champion engineering rigor and ML best practices
- Foster an open, data-driven engineering culture
- Implement and monitor real-time production systems
- Guide junior colleagues through design and code reviews
- Provide structured feedback to team members
- Collaborate with cross-functional teams and partners
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- AWS
Benefits
Other Benefits
- Virtual share options
Additional Allowances
- Annual development budget
- Meal allowance vouchers
Healthcare & Fitness
- Health & Sport Subsidy
Public Transport Subsidies
- Public transportation subsidy
Modern Equipment
- MacBook
- Company-funded AI tools
Ergonomic Workplace
- Ergonomic workplace setup
Learning & Development
- Knowledge sessions
Team Events
- Afterwork events
- Team sports
- Offsites
- Halloween events
- Pride Month events
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Senior Data Scientist - Trading(m/w/x)
Developing algorithms for financial returns and optimizing trading of residential battery flexibility. 5+ years applied data science and trading algorithm development required. Virtual share options, annual development budget, and health/sport subsidy.
Requirements
- C1 Level English
- University degree in data-driven or analytical field
- 5+ years applied data science
- Significant time developing trading algorithms
- Deep understanding of trading mechanics
- Strong knowledge of probability and statistics
- Time-series data processing, analysis, and forecasting
- Focus on streaming settings
- Proficiency in Python
- Software engineering practices
- Excellent English communication skills
- Excellent interpersonal skills
- Cross-functional collaboration mindset
- Independent research experience
- Excellent analytical skills
- Strong attention to detail
- Ability to manage multiple tasks
- Fast-paced team environment
- Direct experience with energy trading
- Experience with battery storage systems flexibility
- Expertise in designing algorithmic trading strategies
- Modelling market impact in intraday markets
- Substantial background in forecasting intraday price movements
- Modelling order book dynamics
- Substantial background in market microstructure
- Experience with Machine Learning development
- Experience with mathematical optimization development
- Experience designing real-time analytics workflows
- Experience owning real-time analytics workflows
- Experience designing near-real-time analytics workflows
- Experience owning near-real-time analytics workflows
- Proven track record of taking models into production
- Production experience on AWS
Tasks
- Research and develop algorithms for financial returns
- Optimize trading of residential battery flexibility
- Drive complex trading strategy projects to production
- Anticipate and resolve project dependencies early
- Contribute to Flexa's technical trading vision
- Identify new market opportunities and flexibility value
- Shape the data science roadmap and next-gen algorithms
- Champion engineering rigor and ML best practices
- Foster an open, data-driven engineering culture
- Implement and monitor real-time production systems
- Guide junior colleagues through design and code reviews
- Provide structured feedback to team members
- Collaborate with cross-functional teams and partners
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- AWS
Benefits
Other Benefits
- Virtual share options
Additional Allowances
- Annual development budget
- Meal allowance vouchers
Healthcare & Fitness
- Health & Sport Subsidy
Public Transport Subsidies
- Public transportation subsidy
Modern Equipment
- MacBook
- Company-funded AI tools
Ergonomic Workplace
- Ergonomic workplace setup
Learning & Development
- Knowledge sessions
Team Events
- Afterwork events
- Team sports
- Offsites
- Halloween events
- Pride Month events
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Flexa
Industry
EnergyAutomation
Description
The company delivers a Virtual Power Plant (VPP) that enables efficient electricity trading for the residential sector, supporting a renewable electricity future.
Not a perfect match?
- Entrix
Staff Data Scientist - Trading(m/w/x)
Full-timeOn-siteSeniorMünchenfrom 115,000 - 135,000 / year - Flexa
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Full-timeOn-siteSeniorMünchenfrom 110,000 - 135,000 / year - Flexa
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Senior Data Scientist(m/w/x)
Full-timeOn-siteSeniorMünchenfrom 88,000 - 115,000 / year - Flexa
Head of Data Science(m/w/x)
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