Quantitative Energy Analyst

4 weeks ago

San Francisco, California, United States Equilibrium Energy Full time
About Equilibrium Energy

Equilibrium Energy is a pioneering clean energy startup dedicated to accelerating our collective path to climate, energy, and societal equilibriums. We're building a digital native power company that operates at the intersection of grid variability, market volatility, economic optimization, commercial structuring, and risk management, across the end-to-end power value chain.

Our Mission

We're on a mission to become one of the next-generation, digital-native, end-to-end global clean power companies that reshapes the energy industry. Our goal is to leverage deep industry expertise combined with modern digital approaches to design commercial strategies, operational approaches, and product suites that best leverage data-driven insights, automated workflows, ML-infused pipelines, and fully automated decision engines.

What We're Looking For

We're seeking a collaborative, talented, and passionate Quantitative Analyst to join our sciences group. As a key member of our team, you'll play an active role in cultivating our culture of experimentation, signal discovery, and incremental delivery. You'll facilitate research into profitable strategy development and energy market dynamics, help identify, recruit, train, and mentor members of our growing team of exceptional trading analysts, and partner with our engineers, product managers, scientists, and commercial team to influence the near to medium-term product roadmap.

Key Responsibilities
  • Use research insights to shape product direction: Influence product and engineering roadmaps through presentation of research insights, experimental results, and trading strategy backtest metrics, in order to evolve organizational direction.
  • Trading performance analytics: Investigate driving factors in trading over/under performance, identifying learnings, and drive a fly-wheel of continuous strategy improvement and team education.
  • Research, develop, backtest, and deploy novel quantitative trading signals and strategies in the energy domain: Identify and extract sources of trading alpha by researching multiple energy datasets, surveying industry techniques & domain intuition, and executing hands-on experimental models & backtests.
Requirements
  • Passion for clean energy and fighting climate change
  • An advanced degree in computer science, data science, machine learning, artificial intelligence, operations research, engineering, or related quantitative discipline
  • 6+ years experience in quantitative research & analytics, automated systematic financial trading, or similar role, in the US Power Markets
  • 4+ years experience with Python and the supporting computational science tool suite (e.g. NumPy, SciPy, Pandas, Scikit-learn, TensorFlow, etc)
  • Experience in the electricity and energy domain (e.g. wholesale market prices)
  • Experience developing, releasing, and tracking performance of quantitative trading strategies in production
  • Experience communicating mathematical concepts, analytical results, and data-driven insights to both technical and non-technical audiences
  • A collaboration-first mentality, with a willingness to teach as well as learn from others
What We Offer
  • Competitive base salary and a comprehensive medical, dental, vision, and 401k package
  • Opportunity to own a significant piece of the company via a meaningful equity grant
  • Unlimited vacation and flexible work schedule
  • Ability to work remotely from anywhere in the United States, Canada & Europe, or join one of our regional hubs in Boston, SF Bay Area, or London
  • Accelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and tech
Equilibrium Energy is an Equal Opportunity Employer

We're a diverse and inclusive employer that does not discriminate on the basis of race, gender, nationality, sexual orientation, veteran status, disability, age, or other legally protected status.

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