Comity · 2 months ago
Senior Quantitative Researcher - Portfolio Optimization
Comity is on a mission to improve the reliability and efficiency of energy systems through innovative statistical learning and optimization methods. They are seeking a Senior Quantitative Researcher - Portfolio Optimization to lead portfolio management of power trading strategies, develop information systems, and collaborate with risk managers and engineers.
Electrical DistributionEnergyRenewable Energy
Responsibilities
Develop information systems to manage Comity’s strategy of strategies — systematic allocation decisions of our market-specific autonomous trading systems
Design the acceptance criteria for new strategies
Collaborate with risk managers on risk measures and quantitative risk modeling
Work closely with our software and quantitative research engineers, who are focused on bringing new assets to market, and our finance team, which is responsible for our business outcome
Qualification
Required
You've held P&L responsibilities as a quantitative portfolio manager
You have deep knowledge of applied math, probability, statistics, and numerical algorithms
You have knowledge of optimization techniques in finance
You are a strong coder with experience in Python
You have a graduate degree in mathematics, statistics, machine learning, computer science, physics, or a related quantitative modeling field
You are adept at communicating mathematical concepts, analytical results, and data-driven insights to both technical and non-technical audiences
You are a lifelong learner and empathetic teacher. We're committed to the growth and development of our teammates. We work towards a shared understanding by listening with intent and holding open discussions because we know that's how we'll deliver quality results
Preferred
You have experience in U.S. wholesale electricity markets