Commodities Strats VP/Assoc — Quantitative Pricing & Risk

Candidate Experience Site - Lateral

City Of London

On-site

GBP 150,000 - 190,000

Full time

2 days ago
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Job summary

Goldman Sachs is seeking a highly quantitative Commodities Strats Associate/VP in London to develop pricing models and risk tools for Gas & Power, Oil Products, and Metals. You will work with traders, sales, and engineering to deliver innovative solutions in a fast-paced trading floor environment.

The role requires strong programming skills (Python or C++), deep knowledge of option pricing, and an outstanding academic record in physics, math, engineering, or CS.

Qualifications

  • Experience in commodity markets.
  • Sound understanding of option pricing models.
  • Experience in object-oriented programming with Python or C++.
  • Excellent written and verbal communication skills.
  • Excellent academic record in a quantitative field such as Physics, Mathematics, Engineering or Computer Science.

Responsibilities

  • Develop and maintain derivatives pricing models across multiple sub-asset classes (Gas & Power, Oil Products, Metals).
  • Collaborate with Sales, Trading and Structuring to develop risk-management solutions and hedge strategies.
  • Contribute to physical commodity and commodity-backed structured finance transactions.
  • Be involved with all stages of the software development lifecycle and work with real-time risk and market data systems.
  • Coordinate with teams to expand the business into new products and jurisdictions.

Skills

Commodity markets
Option pricing
Python/C++

Education

Physics
Mathematics
Engineering
Computer Science

Job description

Goldman Sachs is seeking a highly quantitative Commodities Strats Associate/VP in London to develop pricing models and risk tools for Gas & Power, Oil Products, and Metals. You will work with traders, sales, and engineering to deliver innovative solutions in a fast-paced trading floor environment.

The role requires strong programming skills (Python or C++), deep knowledge of option pricing, and an outstanding academic record in physics, math, engineering, or CS.

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