Quantitative Risk Analyst

S&P Global Energy

Fully remote
Develop quantitative models
Maintain forward curve models
Scientific programming (matlab/python/r/sas)
We deliver solutions that support commodity risk functions across global energy markets, specializing in quantitatively derived forward curves for markets and periods with limited liquidity

Job Summary

  • We deliver solutions that support commodity risk functions across global energy markets, specializing in quantitatively derived forward curves for markets and periods with limited liquidity.
  • Our multi‑disciplinary team spans the globe and owns the design, development, and operation of our models.
  • Our mission is Advancing Essential Intelligence, empowering customers with trusted data, expertise, and technology to make decisions with conviction.

Matching Summary

We deliver solutions that support commodity risk functions across global energy markets, specializing in quantitatively derived forward curves for markets and periods with limited liquidity.

Skills & Requirements

Must-have

  • Develop quantitative models
  • Maintain forward curve models
  • Scientific programming (Matlab/Python/R/SAS)
  • SQL databases
  • MS Excel
  • Commodity quantitative analysis

Nice-to-have

  • Advanced degree preferred
  • Well-rounded communication skills
  • Team environment collaboration
  • Managing multiple tasks
  • Self-starter
  • Remote work management

Key Requirements

  • BA/BS in Physics, Economics, Finance, or Engineering
  • Experience in commodity quantitative or market analysis
  • Regional commodity experience (Europe/Middle East or Asia)
  • Experience with Risk Management, forward curves and/or volatility

Work Rights

Not specified

Tailored Resume

Cover Letter