Quantitative Developer/Software Engineer - Commodities Trading
A leading multi-strategy hedge fund based in New York City is hiring a Software Engineer / Quant Developer to join its newly launched commodities trading business. This is a front-office, high-impact role supporting a greenfield initiative, where you'll work directly with decision-makers to architect and build the technology infrastructure from scratch. The hiring manager has a long track record of building risk and pricing analytics infrastructure at various hedge funds, and has recently joined the team to lead this initiative.
The ideal candidate will have 5+ years of professional experience, high level programming proficiency in Python and Pandas, and preferably from a financial services background, as they would like to hire someone who has worked on either the buyside or the sell side.
Responsibilities:
- Build strategic systems to support commodities trading, pricing, and risk analytics.
- Collaborate closely with portfolio managers, risk teams, and other technologists.
- Design and develop tools for data flow, storage, distribution, and visualization.
- Translate complex data into actionable insights for the trading desk and to be used by portfolio managers.
- Develop and implement models for risk and pricing.
Qualifications
- 5+ years of experience in software development, ideally in financial services.
- Strong Python skills, especially with Pandas and numerical libraries.
- Experience building models for high-performance calculations.
- Familiarity with AWS (S3, EC2, EKS, Airflow) and CI/CD tools (Git, Jenkins).
- Bonus: Experience with commodities, pricing models, or risk analytics.
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