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Selby Jennings

Sr. Quantitative Strategist - Commodities

Pay: $300,000/yr

Posted: 5 days ago

Location: New York, NY (Onsite)

Last Updated: 2 days ago

Hours: Full-Time

Expires: 10/6/2026

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What they do

A Securities or Commodities Trader trades securities or commodities electronically or on a trade or auction floor such as a stock exchange. Securities include stocks and bonds; commodities include products such as oil, gold, or corn. Monitors financial markets and the performance and price of different securities. Negotiates prices and terms for a sale or trade.

$157,828 / year median in New York

+11% projected growth

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Job Description

Sr. Quantitative Strategist

Commodities Selby Jennings
3.0 New York, NY Job Details $200,000
$300,000 a year 1 hour ago Qualifications Option pricing models Python Derivatives analysis Statistical analysis tools Full Job Description SUMMARY I'm working directly with the Head of Commodities at a leading global financial institution that is looking to add a Senior Quantitative Strategist to its front-office quantitative team.

This is a highly visible role partnering directly with traders and portfolio managers to develop pricing models, volatility frameworks, forecasting tools, and risk analytics that influence investment and trading decisions across global commodities markets. What You'll Be Doing Develop pricing and risk models for commodity derivatives and structured transactions. Build and calibrate volatility surfaces, forecasting models, and quantitative analytics. Partner directly with traders and portfolio managers on live trading and risk management challenges. Design and enhance Python-based research, pricing, and analytics platforms. Develop P&L attribution, portfolio analytics, and risk management tools. Contribute to the ongoing evolution of the team's quantitative infrastructure and modelling framework. What They're Looking For 5+ years of experience in a Quant Research, Quant Strat, or Quant Development role. Strong background in derivatives pricing, volatility modelling, and quantitative analytics. Advanced Python development skills; C++ experience is a plus. Experience supporting commodities, energy, macro, or other trading businesses. Advanced degree in a quantitative field. Why It's Interesting Direct interaction with senior traders and decision-makers. Opportunity to own production models that directly impact trading and P&L. Broad exposure across quantitative modelling, software engineering, and front-office trading. Strong mix of research, modelling, and hands-on development