Quantitative Analyst

Summary

Join Equilibrium Energy, a Series B clean energy startup, as a Staff/Sr. Staff Quantitative Analyst. You will contribute to the development and maturation of our quantitative trading business in the energy space. Key responsibilities include shaping product direction through research insights, performing trading performance analytics, and developing and deploying novel quantitative trading strategies. This role requires an advanced degree in a quantitative discipline, 6+ years of experience in quantitative research and analytics within US Power Markets, and proficiency in Python and related tools. We offer a competitive salary, comprehensive benefits, unlimited vacation, flexible work schedule, remote work options, and accelerated professional growth opportunities.

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

Responsibilities

• Use research insights to shape product 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

Preferred Qualifications

• 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, 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