Autonomous Monetization Quant Energy Markets

Comity
San Francisco, US
On-site

Why this role

Pace
Steady
Collaboration
Medium
Autonomy
Medium
Decision Impact
Team
Role Level
Individual Contributor

What success looks like

  • design and optimize strategies to derive economic value from energy systems
Typical background
quantitative financeenergy trading

Transferable backgrounds

Skills & requirements

Required

stochastic optimizationprobability theoryPython programming

Preferred

energy marketsfinancial modeling

Stack & domain

PythonEnergy marketsStochastic optimizationProbability theoryEnergy

About the role

Position: Autonomous Monetization Quant for Energy Markets

An innovative energy solutions company is looking for a Quantitative Researcher for Monetization in San Francisco. The role involves designing and optimizing strategies to derive economic value from energy systems. Candidates should have over 5 years of experience in relevant fields, demonstrate proficiency in Python, and a strong background in stochastic optimization and probability theory. The company promotes diversity and offers a competitive salary range of $150K - $180K.

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