Associate Statistical Programmer Jobs in Houston, TX

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Our Quantitative and Commodities Center (QCC) 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 QCC 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, environmental, agriculture, metals, and soft commodities.

Location(s): Houston, New York, Hoboken, McLean, Atlanta, Chicago, Boston, Dallas, San Francisco, San Jose, Seattle

The QCC 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 QCC 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 quantitative and 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 broader commodities footprint and team with other service lines across EY and across the world.

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.

• Using a commercial industry perspective to advise clients on advanced practices, typical industry approaches, market behavior.
• Developing quantitative financial models for commodity and financial 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, financial, and renewables markets and new client objectives
• Working across a team and independently with a highly adaptive, flexible approach to solving new problems

• 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, Python 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 financial and 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 willingness embrace new challenges and ideas with a flexible, positive, solution-oriented mindset
• Ability to complete an approved certification within 2 years of hiring
• The ability and willingness to travel and work in excess of standard hours when necessary
• Access to reliable transportation to/from the EY office and client sites. A driver’s license is strongly recommended as ride share and public transportation options may not be available in all locations

At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers.

• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job is:
  • New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $ 109,000 to $ 163,400
  • Bay Area California offices – $113,500 to $170,200
  • All other offices locations in the US, including Sacramento – $90,800 to $149,800
• Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

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All in to shape the future with confidence.

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