JobsTAAG-Commodities Quantitative & Commercial Advisory-Senior
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TAAG-Commodities Quantitative & Commercial Advisory-Senior

EY

Location

Houston, TX

Type

Full-time

Posted

9/10/2026

Compensation

$90,800 - $170,200 per year

Undergraduate with 5+ Years of Experience
H-1B FY202697.2% approval-60% YoY
👑 Elite sponsor

Job description

The Senior role in the Quantitative and Commodities Center (QCC) at EY focuses on risk management modeling, portfolio analysis, valuation, and data science activities. The team provides specialized advisory services to companies involved in commodity operations, addressing complex commodity risk topics. This position offers the opportunity to work on diverse projects involving financial models and analytics, while collaborating with experienced professionals in the field. Candidates will develop their quantitative skills and tackle interesting challenges faced by clients in the commodities sector.

Requirements

  • A bachelor's degree and two years of related work experience, or a graduate degree and one year of related work experience in a quantitative discipline such as finance, mathematics, statistics, financial engineering, engineering, or economics.
  • Experience in VBA programming and at least one of R or Python programming languages, along with strong Microsoft Excel skills.
  • Familiarity with derivatives pricing models and computational finance.
  • Familiarity with market factor simulation techniques and a variety of stochastic and numerical methods.
  • A strong interest in financial and commodity markets and related financial instruments.
  • Ability to work independently and as part of a team while prioritizing multiple tasks and deadlines.
  • A strong work ethic and strong communication skills.

Responsibilities

  • Advise clients on advanced practices and typical industry approaches using a commercial industry perspective.
  • Develop quantitative financial models for commodity and financial contracts, implementing market factor simulation techniques and various stochastic and numerical methods.
  • Enhance proprietary valuation models by selecting appropriate inputs and techniques.
  • Leverage machine learning techniques and statistical programming packages to analyze commodity instruments.
  • Present results to both internal and external stakeholders using modern data visualization tools.
  • Write client reports detailing work performed, considerations, recommendations, and outcomes.
  • Adapt existing approaches and analytics styles to new commodity, financial, and renewables markets and client objectives.

Benefits

  • Ernst & Young (EY) offers a comprehensive and competitive benefits package designed to support the well-being of its employees across various dimensions.

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