Monetization Quant Researcher - Energy AI

Comity; New York (NY); On-site; USD 100,000 - 140,000; Full time

Job summary

A forward-thinking energy firm is seeking a Quantitative Researcher for Monetization to design and operate autonomous strategies that derive economic value from information and energy systems. The ideal candidate has over 5 years of experience in applied stochastic optimization within financial or electrical engineering, and is proficient in Python. Located in New York, the role involves identifying market opportunities and leveraging machine learning models to optimize performance. Join us and be part of a team committed to sustainable energy solutions.

Qualifications

• 5+ years of design, research and development experience in industry.
• Deep understanding of energy or other commodity or financial markets.
• Experience developing and monitoring machine learning models.

Responsibilities

• Identify and prioritize market opportunities by expected value and difficulty.
• Architect autonomous strategies end to end.
• Optimize strategy performance leveraging metadata.

Skills

Applied stochastic optimization

Probability theory

Machine learning models

Python programming

Job description

A forward-thinking energy firm is seeking a Quantitative Researcher for Monetization to design and operate autonomous strategies that derive economic value from information and energy systems. The ideal candidate has over 5 years of experience in applied stochastic optimization within financial or electrical engineering, and is proficient in Python. Located in New York, the role involves identifying market opportunities and leveraging machine learning models to optimize performance. Join us and be part of a team committed to sustainable energy solutions.