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Vitol

Quantitative Risk Analyst

Vitol, Houston, Texas, United States, 77246

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Company Description

Vitol is a leader in energy and commodities. Vitol produces, manages and delivers energy and commodities to consumers and industry worldwide. In addition to its primary business of trading, Vitol is invested in infrastructure globally, with $10 billion invested in long-term assets. Vitol’s customers include national oil companies, multinationals, leading industrial companies and utilities. Founded in Rotterdam in 1966, today Vitol serves its customers from some 40 offices worldwide. Revenues in 2024 were $331bn. For more information: vitol.com

Job Description

Vitol is seeking a Quantitative Risk Analyst to join our Market Risk team, with a focus on portfolio-level market risk across commodities. In this role, you will assess, monitor, and report market risks across Vitol’s dynamic trading portfolios, providing quantitative insights that support risk management and commercial decision-making.

Key Responsibilities

Analyze and monitor market risk exposures across portfolios, including VaR, stress testing, and scenario analysis

Develop, implement, and enhance quantitative risk models

Support deal structuring and option modelling for complex transactions

Collaborate with trading, risk, and technology teams to ensure robust risk measurement and reporting

Prepare regular and ad-hoc risk reports for senior management, highlighting key risk drivers and portfolio sensitivities

Identify and communicate emerging risks and market trends specific to commodities

Support the development and maintenance of risk systems, tools, and dashboards, leveraging Vitol’s internal platforms

Contribute to the ongoing improvement of risk management frameworks, policies, and procedures

Ensure compliance with internal risk limits and regulatory requirements

Qualifications

Bachelor’s degree or higher in a quantitative field (e.g., Mathematics, Statistics, Finance, Engineering, Physics)

Strong understanding of energy/commodity markets, derivatives, and risk management concepts

Proficiency in quantitative analysis, statistical modeling, and programming (e.g., Python, R, MATLAB)

Experience with risk measurement techniques such as VaR, stress testing, and scenario analysis

Experience in deal structuring and option modelling for energy or commodity markets

Excellent analytical, problem-solving, and communication skills

Ability to work independently and collaboratively in a fast-paced, global environment

Direct experience in energy, commodities, or financial trading, with a focus on power and gas, is highly desirable

All your information will be kept confidential according to EEO guidelines.

Seniority level Mid-Senior level

Employment type Full-time

Job function Analyst

Industries Oil and Gas

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