Energy Quant Analyst: Modeling & Analytics

Chevron Corporation; Greater London; On-site; GBP 70,000 - 100,000; Full time

Job summary

Chevron Corporation seeks a Quantitative Analyst to develop, validate, and maintain quantitative models for its global commodities portfolio. You will support commercial decision-making and optimize value across energy markets, applying rigorous mathematical methods and modern programming practices.

You will collaborate with experienced analysts, traders, and risk professionals across regions, continuously improving analytics platforms and delivering well-documented code.

Qualifications

• Master's-level degree in a quantitative field with strong mathematical training.
• Strong quantitative and analytical problem-solving abilities.
• Proficiency in Python or similar languages; ability to learn new concepts quickly.

Responsibilities

• Develop, validate, and maintain quantitative models for commodity transactions.
• Support portfolio optimization and commercial decision-making.
• Apply quantitative techniques to evaluate opportunities and risks.
• Assist in analytics platform and software development for commercial teams.
• Produce well-documented, high-quality code for modelling frameworks.
• Collaborate across trading, structuring, analytics, risk, and commercial teams.
• Continuously develop expertise in quantitative methods and energy markets.

Skills

Quantitative modeling

Analytical problem-solving

Python programming

C++/Java/R/MATLAB

Communication skills

Team collaboration

Attention to detail

AI-assisted development tools

Education

Master's degree in a quantitative field

Tools

Python

C++

Java

R

MATLAB

Job description

Chevron Corporation seeks a Quantitative Analyst to develop, validate, and maintain quantitative models for its global commodities portfolio. You will support commercial decision-making and optimize value across energy markets, applying rigorous mathematical methods and modern programming practices.

You will collaborate with experienced analysts, traders, and risk professionals across regions, continuously improving analytics platforms and delivering well-documented code.