Quantitative Researcher for Risk and Research Engagement

Comity • Chicago, IL

3d • $150,000 - $180,000 • Hybrid

About The Position

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.

Requirements

• Strong quantitative foundations in statistics, optimization, probability, machine learning, or applied mathematics
• Experience developing quantitative models for portfolio analytics, risk management, or trading applications
• Experience with performance attribution, portfolio optimization, or systematic trading analytics
• Comfortable influencing Portfolio Managers, Risk Managers, and senior stakeholders in fast-moving environments
• Strong Python programmer with experience building analytical tooling and working with large datasets
• Strong intuition for markets, portfolio behavior, and risk under changing market conditions
• Communicate quantitative insights clearly to both technical and non-technical audiences
• Intellectually rigorous and operationally resilient; you dig into messy problems and drive them to resolution

Nice To Haves

• Experience in U.S. wholesale electricity markets, including virtual trading, congestion modeling, nodal pricing, or FTRs
• Advanced degree in a quantitative discipline such as mathematics, statistics, computer science, engineering, physics, or economics

Responsibilities

• 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 infrastructure to drive research outcomes
• Develop quantitative models for risk analysis, scenario analysis, and performance attribution
• Track and analyze portfolio P&L and exposures, delivering actionable insights to PMs and senior leadership
• Support investment and risk decision-making under uncertainty by combining quantitative analysis and sound judgment
• Collaborate closely with engineering, research, and leadership teams to scale Comity’s trading and risk platform

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed