Senior Commodities Quantitative Researcher – US Power & GasJob

Anson McCade
New York, US
On-site

Job Description

My client, a leading global systematic hedge fund is seeking a Senior Commodities Quantitative Researcher to join its New York office. The firm is renowned for its collaborative culture, strong research focus, and giving quants strong autonomy in a full-stack role.

With an established and successful commodities platform across European markets, the team is now looking to expand into US Power and Gas. This hire will play a pivotal role in shaping and building out this next phase of growth.

The Role

As a senior member of the commodities research team, you will:

  • Lead the research, development, and implementation of systematic trading strategies focused on US Power & Gas markets
  • Identify and exploit inefficiencies through data-driven modelling and advanced quantitative techniques
  • Work closely with other researchers and technologists in a highly collaborative environment
  • Contribute to the end-to-end research lifecycle, from idea generation through to production deployment
  • Help define the research agenda and strategic direction for the US energy expansion

Key Requirements

  • Proven experience in systematic strategy research and development within commodities, ideally US Power and/or Gas
  • Strong understanding of energy markets, fundamentals, and data structures
  • Advanced quantitative skillset, including statistical modelling, time series analysis, and machine learning techniques
  • Proficiency in programming (typically Python; experience with large datasets is essential)
  • Demonstrated ability to independently drive research projects while contributing to a team-oriented environment
  • Excellent academic background in a quantitative discipline (e.g., Mathematics, Physics, Engineering, Computer Science)

Why Join?

  • Opportunity to lead and shape a new growth area within an established, high-performing platform
  • Strong emphasis on collaboration with high-calibre colleagues
  • Autonomy and ownership over your research and ideas
  • Competitive compensation aligned with impact

Skills & Requirements

Technical Skills

PythonStatistical modellingTime series analysisMachine learning techniquesCommoditiesEnergy markets

Employment Type

FULL TIME

Level

mid

Posted

4/13/2026

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