Sr. Quantitative Strategist - Commodities

Selby Jennings; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Selby Jennings is seeking a Senior Quantitative Strategist to join its front-office quantitative team, partnering with traders and portfolio managers to build pricing models, volatility frameworks, forecasting tools, and risk analytics for global commodities.

You will develop pricing and risk models for commodity derivatives, calibrate volatility surfaces, and contribute to production platforms with Python; C++ is a plus for performance.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Quantitative analytics

Derivatives pricing

Volatility modelling

Risk analytics

Front-office collaboration

Tools

Python

C++

Pandas

NumPy

Job description

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.

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