About Us
Fractal Power is a vertically integrated power company built for the modern grid. We own and operate across the entire stack, combining utility-scale energy storage infrastructure with algorithmic trading and dispatch to deliver power precisely where and when it’s needed most.
Why Join Us?
Demand for power is growing at the fastest rate since WWII yet supply is stranded behind worsening transmission and interconnection bottlenecks. The new economy requires a new model of power delivery, one that’s vertically integrated, algorithmically operated, and co-located with demand.
We solve the last-mile infrastructure problem by vertically integrating across the entire value chain of American power - from greenfield development, to algorithmic optimization, dispatch, and power trading across a fleet of distributed resources - allowing us to deliver power where and when it's needed most on the grid. We have the ambition, the team, and the zeal to create the next great power company and we are looking for fanatical people to join us.
Role Overview
This role will be responsible for the research and development of algorithmic trading strategies across the full range of power and energy markets - including physical, virtual, congestion and futures; supporting both speculative financial and power plant optimization strategies. The right candidate will be able to work effectively applying statistical analysis, quantitative risk management and algorithmic design utilizing large data sets in multiple markets and time horizons.
Key Responsibilities
- Develop portfolio level hedging and co-optimization strategies across physical generation and financial markets.
- Apply quantitative and statistical concepts to complex, evolving electrical systems for price and fundamental forecasting at the grid and nodal level.
- Develop and utilize robust backtesting and risk management approaches across the Fractal portfolio.
- Work with engineers and Fractal trading function to build strategy development/research platforms for continuous improvement and enhancement of trading strategies.
- Assist in expansion and battery resource siting decisions.
Qualifications
Required
- PhD (preferred) or Masters in Mathematics, Physics, Statistics, Electrical Engineering or a related discipline.
- 5+ years (Sr.)/2+ years (Staff) experience supporting an algorithmic trading operations
- Demonstrable knowledge in statistical analysis, data science and algorithmic development utilizing cutting-edge AI and Machine Learning approaches.
- Strong programming (Python, R, or similar) knowledge and experience with ability to write production level code.
- Knowledge to understand constantly evolving market rules and new, novel trading products and their impact on pricing, risk and strategy development.
- Ability to operate with high autonomy in ambiguous, fast-moving environments and communicate complex topics to both technical and non-technical audiences.
Preferred
- Experience with ISO or other energy markets, especially regarding power flow modeling and congestion analysis.
- Experience developing virtual, point-to-point and/or FTR/CRR strategies in North American ISO markets.
- Based in NYC or Boston preferred.
What We Offer
- Competitive cash compensation plus meaningful equity ownership in a company positioned at the center of the energy supercycle.
- Comprehensive health, dental, and vision insurance.
- Flexible PTO policy.
