Application Guide
How to Apply for Quantitative Researcher for Monetization
at Comity
🏢 About Comity
Comity is building reliable, transparent, and efficient systems specifically for a 100% renewable energy future, positioning itself at the intersection of clean energy and advanced quantitative finance. Unlike traditional energy companies, Comity focuses entirely on renewable markets, offering a mission-driven environment where quantitative research directly contributes to accelerating the energy transition. Working here means applying sophisticated financial engineering techniques to solve one of society's most pressing challenges.
About This Role
As a Quantitative Researcher for Monetization, you'll architect autonomous trading strategies for renewable energy markets, from identifying high-value opportunities to implementing production-ready code. This role directly impacts Comity's ability to optimize revenue from renewable assets, making clean energy more economically viable. You'll work end-to-end on stochastic optimization problems that balance market dynamics, forecasting uncertainty, and bidding decisions in real-time energy markets.
💡 A Day in the Life
You might start by analyzing overnight market outcomes and adjusting forecasting models based on new weather data, then collaborate with engineers to deploy strategy updates before the day-ahead market window. Afternoon could involve deep-dive research on a new market opportunity, developing prototypes for autonomous bidding approaches, and monitoring real-time strategy performance with an eye toward metadata that could improve tomorrow's decisions.
🚀 Application Tools
🎯 Who Comity Is Looking For
- Has 5+ years of industry experience specifically applying stochastic optimization to energy markets, commodity trading, or financial engineering—not just theoretical knowledge
- Demonstrates deep, practical understanding of electricity market structures (e.g., day-ahead markets, real-time balancing, ancillary services) and their unique dynamics
- Possesses hands-on experience developing and monitoring machine learning models for forecasting and decision-making in time-sensitive environments
- Can articulate how they've shaped probability distributions and managed uncertainty in previous trading or optimization systems
📝 Tips for Applying to Comity
Quantify your impact: Instead of saying 'optimized trading strategies,' specify 'improved strategy Sharpe ratio by 0.3 through better distribution modeling in ERCOT day-ahead markets'
Highlight specific energy market experience: Mention particular markets (CAISO, PJM, MISO), products (FTRs, capacity), or renewable assets (solar, wind) you've worked with
Show end-to-end ownership: Provide examples where you've taken projects from research/ideation through to production implementation, especially when resources were limited
Demonstrate metadata utilization: Describe concrete examples of how you've used metadata (e.g., weather patterns, grid congestion data, asset performance metrics) to augment trading decisions
Tailor your resume to Comity's mission: Frame your quantitative finance experience specifically in terms of how it could advance renewable energy monetization
✉️ What to Emphasize in Your Cover Letter
["Explain why you're specifically passionate about applying quantitative finance to renewable energy markets, not just quantitative research generally", "Provide a specific example of how you've applied stochastic optimization to a problem with similar characteristics to energy market bidding", 'Describe your experience with the full strategy lifecycle—from opportunity identification through to production implementation', "Connect your background to Comity's mission of creating transparent and efficient systems for renewable energy"]
Generate Cover Letter →🔍 Research Before Applying
To stand out, make sure you've researched:
- → Study the structure of U.S. electricity markets (particularly ISOs/RTOs) and how renewable energy participates in day-ahead, real-time, and ancillary service markets
- → Research Comity's public communications, blog posts, or whitepapers to understand their specific approach to renewable energy monetization
- → Investigate current challenges in renewable energy markets, such as congestion management, intermittency pricing, or capacity market participation
- → Look into the regulatory environment for energy trading and how it differs from financial markets
💬 Prepare for These Interview Topics
Based on this role, you may be asked about:
⚠️ Common Mistakes to Avoid
- Presenting generic quantitative finance experience without connecting it to energy/commodity markets or Comity's renewable focus
- Focusing only on model development without demonstrating understanding of production implementation and monitoring requirements
- Using vague language about 'optimization' or 'machine learning' without specific examples tied to market applications or uncertainty management
📅 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:
Application Review
1-2 weeks
Initial Screening
Phone call or written assessment
Interviews
1-2 rounds, usually virtual
Offer
Congratulations!