Staff Data Scientist - Trading & Quant (d/f/m)
Core
Lead technical implementation of trading strategy research and algorithms optimizing financial returns from trading residential battery flexibility.
Role type
Staff Data Scientist (Trading & Quant)
Builds
Trading strategies and algorithms for energy flexibility markets
Domain
Energy trading, financial markets, algorithmic trading
Deliverable
production ML models
Required skills
Python, time-series analysis, probability and statistics, trading mechanics, optimization, software development, AWS
Preferred skills
energy trading, algorithmic trading strategy design, intraday price forecasting, order book dynamics, real-time analytics workflows
Responsibilities
Lead technical implementation of trading strategy research and algorithms, drive delivery of complex trading strategy projects from research to production, own technical vision for trading flexibility across energy markets, identify new market opportunities and shape data science roadmap, champion engineering rigor and ML best practices, drive advancement of trading platform product roadmap, work collaboratively across cross-functional teams
Seniority
Staff, hands-on IC with mentorship