Financial Accounting Advisory Services (FAAS) Senior- Commodities Quantitative & Commercial Advisory

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.  At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.  

Location: Houston

 

 

Job Description – Senior, Commodities Quantitative and Commercial Advisory

 

Background

Our Commodities Quantitative and Commercial Advisory team is part of EY’s Financial Accounting Advisory Services (FAAS) practice. We are a national competency-based solution that provides specialized advisory services to companies with commodity operations and exposure including procurement, marketing, trading, risk management. The Commodities Quantitative and Commercial Advisory team is comprised of individuals with deep industry knowledge, technical quantitative skills and relevant project experience. We assist our clients with analytical support in complex commodity risk topics such as hedging, trading and procurement optimization, market risk management, reporting tools and complex contract modeling, including energy, agriculture, metals, and soft commodities.

 

The opportunity

The Commodities Quantitative and Commercial Advisory team currently has an exciting career opportunity for a Senior, focused on risk management modeling, portfolio analysis, valuation, and data science activities. You will work on projects covering a range of commodities and commercial objectives and will have exposure to the interesting and complex problems faced by our clients. The candidate will work within Commodities Quantitative and Commercial Advisory project teams, typically focused on developing new financial models and analytics to meet our client’s needs. You will have the support of a team of commodities professionals with significant industry experience, providing opportunities to learn and continue developing quantitative skills throughout your career at EY. The candidate can also expect to work within other groups in the Commodities Markets practice and team with other service lines across EY.

 

Responsibilities

This role requires a combination of technical, financial, and quantitative knowledge, along with strong communication and presentation skills to deliver specialized work for our clients. You will be focused on the application of quantitative techniques to value complex commodity contracts and will often be required to present technical topics to non-technical audiences.

Key responsibilities include:

• Using a commercial industry perspective to advise clients on advanced practices, typical industry approaches, market behavior.
• Developing quantitative financial models for commodity contracts, including implementing market factor simulation techniques and a variety of stochastic and numerical methods
• Using and enhancing proprietary valuation models, including the selection of appropriate inputs and techniques
• Leveraging machine learning techniques and statistical programming packages to perform analysis on commodity instruments
• Presenting results, both internally and externally, including using modern data visualization tools
• Writing client reports describing work performed, considerations, recommendations and outcomes
• Problem solving under uncertainty to adapt existing approaches and analytics styles to new commodity and renewables markets and new client objectives
• Working across a team and independently with a highly adaptive, flexible approach to solving new problems

 

Requirements for the role:   

• A bachelor’s degree and three 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 at least one of R, Python, or VBA programming language and 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
• Ideally, the candidate will have experience and a continuing strong interest in commodity markets and related financial instruments
• Ability to work within a given budget and schedule, and provide results in a fast-paced environment
• Ability to work independently and as part of a team prioritizing multiple tasks, deadlines, and project stakeholders
• A strong work ethic, strong communications skills, and embrace new challenges and ideas with a solution-orien