Quantitative Researcher for Monetization
The Role
We are seeking a Quantitative Researcher for Monetization to help us design, deploy, and operate autonomous, systematic strategies that realize economic value from our future information (forecasts) and energy systems models, under real-world market constraints.
You will:
- Identify and prioritize market opportunities by expected value and difficulty
- Architect autonomous strategies end to end — model, forecasts, market actions
- Optimize strategy performance by leveraging metadata to augment bidding decisions
- Work end-to-end from information development to production-ready code
Who We Are
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 and Caffeinated Capital, are aligned to our policy objectives and platform vision. We have hubs in Chicago, New York City, and San Francisco.
Requirements
- Applied stochastic optimization to problems in financial or electrical engineering, operations research, or economics
- Conceptual fluency with probability theory and good taste for shaping and managing distributions
- 5+ years of design, research and development experience in industry
- A deep understanding of the structure of energy or other commodity or financial markets and their dynamics
- Experience and comfort developing and monitoring machine learning models
- Skilled programmer in Python
Qualifications
- Extremely driven — willing and capable to work end-to-end (forecasts, models, optimization, production-quality code)
- Driven to win — no task too tedious if it drives performance
- Predisposed to collaboration — we maintain a highly open and discursive environment which rewards the refinement of everyone's ideas and requires genuine curiosity
Benefits
We are committed to providing a diverse and inclusive workplace where everyone feels valued and respected. We strive to ensure fair and equal access to employment opportunities for all candidates. Recruiting and hiring decisions are made without regard to race, color, religion, sex, national origin, age, disability, or any other class protected by law.
Pay
$150K - $180K
Schedule
N/A