QuantitativeResearcherforRiskandResearchEngagement

🎯 WHY WE EXIST We’re on a mission to improve the reliability, transparency, and efficiency of our energy systems, fostering a future with sustainable and abundant energy. To accomplish our aims, we’re leveraging state of the art statistical learning and convex optimization methods (AI) to build the financial rails of our future energy systems that will accelerate the deployment of clean energy resources. We envision energy systems that are efficient, autonomous, resilient, and powered by 100% renewable energy. 🧗 WHO WE ARE Our founders (ex-Apple, Bluevine; ex-Affirm, Square, Google) are Stanford alumni with experience in complex systems, machine learning and structured finance. Our world-class investors, Maverick Ventures https://www.maverickventures.com/ and Caffeinated Capital https://caffeinatedcapital.com/, are aligned to our policy objectives and platform vision. We have hubs in New York City, Chicago, and San Francisco. THE ROLE This role sits at the intersection of portfolio management, quantitative research, and risk management. You will partner closely with Portfolio Managers, Risk Managers, and senior leadership to develop risk models, analyze power market dynamics, improve portfolio allocation decisions, and build the analytical infrastructure that supports our trading and risk platform. You will work directly with decision-makers across the organization to deepen our understanding of market structure, portfolio behavior, and risk drivers in U.S. power markets. This role is highly collaborative, analytical, and hands-on, with significant opportunity to shape our risk and portfolio analytics capabilities as the platform scales. In this role, you will: - Analyze U.S. power markets to identify market opportunities, portfolio risks, and drivers of performance - Partner directly with Portfolio Managers and Risk Managers to support portfolio construction, allocation decisions, and alpha research - Improve backtesting, experimentation, and simulation infrastru