Quantamental Analyst – Commodities | Investment Fund | New York

An elite investment fund in New York is seeking a sharp, entrepreneurial Quantamental Analyst to drive alpha generation within its commodities division. Operating in a fast-paced, non-hierarchical environment, the firm values agility, intellectual rigor, and innovation in its trading approach.

Key Responsibilities:

• Develop and refine data-driven strategies integrating quantitative models with fundamental commodities research.
• Analyse market dynamics, supply-demand imbalances, and macroeconomic factors to generate actionable insights.
• Collaborate with portfolio managers to optimise trade execution and portfolio construction.
• Leverage alternative data and advanced analytics to enhance decision-making processes.
• Contribute to a culture of rapid iteration, intellectual challenge, and high-impact research.

Ideal Candidate:

• 3+ years in a quantitative or quantamental research role within commodities at a hedge fund, trading firm, or investment bank.
• Expertise in statistical modelling, machine learning, and programming (Python, R, SQL, or similar).
• Strong understanding of commodities markets, macroeconomic factors, and fundamental drivers.
• Entrepreneurial mindset with a track record of developing and implementing profitable strategies.
• Excellent communication skills and ability to work seamlessly with both technical and fundamental teams.

Why Join?

• Direct impact within a high-calibre, collaborative, and meritocratic team.
• Exposure to decision-makers, ensuring rapid career progression.
• Cutting-edge research environment with access to top-tier data and technology.
• Competitive compensation and long-term growth potential.

If you match the job description and are keen on applying for this role, please send us a copy of your resume/cover letter to thomas-ian@redstonesearch.com or submit your application through the Vacancy Form.