Application Guide

How to Apply for Quantitative Researcher for Risk and Research Engagement

at Comity

🏢 About Comity

Comity is dedicated to building the digital infrastructure for a 100% renewable energy future, focusing on reliability, transparency, and efficiency. Unlike traditional energy firms, Comity leverages advanced quantitative methods to optimize renewable energy systems, making it a mission-driven workplace for those passionate about combating climate change through technology.

About This Role

This role sits at the intersection of quantitative finance and renewable energy, where you'll analyze U.S. power markets to identify opportunities and risks. You'll directly support Portfolio Managers and Risk Managers by developing models for portfolio construction, risk analysis, and performance attribution, directly impacting the transition to clean energy.

💡 A Day in the Life

A typical day might start with checking overnight power market moves and updating portfolio risk dashboards. You'll then collaborate with a Portfolio Manager to analyze a new trading opportunity, running scenario analyses using your Python models. After lunch, you could be refining a machine learning model for price forecasting or presenting attribution results to senior leadership, ensuring insights drive renewable energy investments.

🚀 Application Tools

Generate Cover Letter

AI-powered, tailored for Comity

Interview Prep

Practice questions for this role

🎯 Who Comity Is Looking For

  • Strong background in statistics, optimization, or machine learning, with experience applying these to financial or energy market data.
  • Proven track record of building quantitative models for portfolio analytics, risk management, or trading, preferably in power or commodity markets.
  • Expert Python programmer capable of handling large datasets (e.g., time series, market data) and building analytical tools from scratch.
  • Excellent communicator who can translate complex quantitative insights into actionable recommendations for both technical and non-technical stakeholders.

📝 Tips for Applying to Comity

1

Tailor your resume to highlight specific projects where you developed quantitative models for risk or portfolio analysis, especially if related to energy or commodities.

2

In your cover letter, explicitly connect your quantitative skills to renewable energy market challenges, such as volatility modeling or scenario analysis for power prices.

3

Showcase your Python proficiency by linking to a GitHub portfolio or describing a complex data pipeline you built for market analysis.

4

Research Comity's published reports or blog posts on renewable energy markets and reference them in your application to demonstrate genuine interest.

5

Quantify your impact in previous roles (e.g., 'Improved portfolio risk-adjusted returns by 15% through a volatility model') to align with the data-driven culture.

✉️ What to Emphasize in Your Cover Letter

["Emphasize your passion for renewable energy and how your quantitative skills can drive Comity's mission of reliable, transparent energy systems.", "Highlight specific experience with U.S. power markets or similar commodity markets, including any models you've built for price forecasting or risk management.", 'Describe a time you collaborated with portfolio or risk managers to deliver actionable insights from complex data, showcasing your communication skills.', "Mention any work with large datasets and Python tooling that directly relates to the role's requirements."]

Generate Cover Letter →

🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Read Comity's website and any available white papers or case studies on their approach to renewable energy market analysis.
  • → Understand the current regulatory landscape and key trends in U.S. power markets (e.g., RTOs/ISOs, renewable portfolio standards).
  • → Familiarize yourself with common risk metrics in energy trading (e.g., VaR, CVaR, P&L attribution) and how they apply to renewable assets.
  • → Check Comity's LinkedIn or news mentions for recent projects or partnerships to discuss in the interview.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Walk me through a quantitative model you built for risk analysis or portfolio optimization. What were the key assumptions and challenges?
2 How would you approach modeling the risk of a renewable energy portfolio given weather-dependent generation and volatile power prices?
3 Describe a time you communicated a complex quantitative insight to a non-technical audience. How did you ensure clarity?
4 Explain how you would design a Python-based tool to track and analyze portfolio P&L and exposures in near real-time.
5 What statistical methods would you use to identify drivers of performance in a power trading portfolio?
Practice Interview Questions →

⚠️ Common Mistakes to Avoid

  • Submitting a generic application that doesn't show specific interest in renewable energy or U.S. power markets.
  • Focusing only on technical skills without demonstrating how you've used them to drive business decisions or collaborate with non-technical teams.
  • Ignoring the mission-driven aspect; avoid treating this as just another quant role—highlight your alignment with Comity's sustainability goals.

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Comity!

← Back to Job Listing Apply Now →