Quantitative Analyst - Power Markets

December 11, 2023

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Equilibrium Energy

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Description

• Influence product and engineering roadmaps through presentation of research insights, experimental results, and trading strategy backtest metrics, in order to evolve organizational direction. • Initiate and lead cross-functional engagements to surface, prioritize, formulate, and structure complex and ambiguous challenges where advanced novel quantitative analytics or machine learning techniques can drive outsized company trading impact. • Investigate driving factors in trading over/under performance, identifying learnings, and drive a fly-wheel of continuous strategy improvement and team education. • Identify and extract sources of trading alpha by researching multiple energy datasets, surveying industry techniques & domain intuition, and executing hands-on experimental models & backtests. • Drive the design, specification, development, and production deployment of our suite of novel quantitative trading solutions. • Lead short to medium term research projects that advance the state-of-the-art in quantitative research techniques, as applied to energy asset management and financial trading.

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 Nice to have additional skills • Experience designing and building novel statistical models on time series data, including characterizing probabilistic outcome uncertainty • Experience with database technologies and sql • Experience with probability, hypothesis testing, and uncertainty quantification • Experience with optimization techniques (e.g. stochastic optimization, robust optimization) • Experience with data visualization and dashboarding technologies (e.g. plot.ly Dash, Streamlit) • Experience leading and mentoring a team of analysts

Benefits

• 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 & 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