Commodities Quantitative Researcher/ Trader

Alexander Chapman; New York (NY); On-site; USD 165,000 - 325,000; Full time

Job summary

An innovative firm is seeking a Commodities Quantitative Researcher/Trader to join their expanding team in New York. This role offers a unique opportunity to collaborate with portfolio managers and leverage rich datasets across various markets, including energy and agriculture. Ideal candidates will have a strong research mindset, proficiency in Python, and a passion for developing data-driven strategies. Join a technically-minded team where you can take ownership of strategy development and make a significant impact in the trading space. If you're ready to elevate your career in a dynamic environment, this position is perfect for you.

Qualifications

• 2–5 years in quant research or trading, preferably with commodities exposure.
• Proficiency in Python and strong statistical analysis skills.

Responsibilities

• Develop and refine data-driven strategies in real trading environments.
• Work closely with PMs on research that influences trading decisions.

Skills

Python

Statistical Analysis

Market Structure

Signal Design

Performance Attribution

Futures Data

Education

Bachelor's Degree in Finance or Quantitative Fields

Master's Degree (Preferred)

Job description

Commodities Quantitative Researcher/ Trader

Commodities Quantitative Researcher/ Trader

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Quant Finance Recruiter at Alexander Chapman

Commodities Quant Researcher / Systematic Trader – New York

Partnering with a quantitative trading group in NYC that's expanding its commodities desk. They're looking for someone with a strong research mindset and a passion for markets—someone who wants to develop and refine data-driven strategies in real trading environments.

What makes this compelling:

• Work closely with PMs on research that feeds directly into trading decisions
• Explore rich datasets across energy, metals, or agricultural markets
• Be part of a collaborative, technically-minded team
• Strong comp structure and real ownership over strategy development

Ideal background:

• 2–5 years in quant research or trading, preferably with some exposure to commodities
• Proficiency in Python and statistical analysis
• Interest in market structure, signal design, and performance attribution
• Experience working with futures data or alternative sources is a plus

If you’re exploring new roles—or know someone who might be—drop me a message.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Finance

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