Comity
Quantitative Researcher for Monetization
New York
Sponsorship not specifiedDetected 162 days ago
RailsMachine LearningElectrical EngineeringResearchCollaboration
About the role
- Identify and prioritize market opportunities by expected value and difficulty
- Architect autonomous strategies end to end - model, forecasts, market actions
- work end-to-end from information development to production-ready code if resources are otherwise occupied
Requirements
- You have applied stochastic optimization to problems in financial or electrical engineering, operations research, or economics.
- You have conceptual fluency with probability theory and good taste for shaping and managing distributions.
- You have a deep understanding of the structure of energy or other commodity or financial markets and their dynamics.
- You are a skilled programmer in Python.
Benefits
- To accomplish our aims, we're leveraging state of the art statistical learning and convex optimization methods (AI) to build the financial rails of our future energy systems.
- Our founders (ex-Apple, Bluevine; ex-Affirm, Square, Google) are Stanford alumni with experience in complex systems, machine learning and structured finance.
- Our world-class investors, Maverick Ventures https://www.maverickventures.com/ and Caffeinated Capital https://caffeinatedcapital.com/, are aligned to our policy objectives and platform vision.
Company info
- At Comity, we seek to recruit, develop, and retain the most talented people from a diverse candidate pool.
This listing is sourced directly from Comity's careers page and normalized into a canonical job model.