Commodity Trading Analytics Internship Program

Commodity Trading Analytics Internship Program

Houston, Texas;
New York

Engelhart was founded in 2013 by BTG Pactual Group as a commodities trading company. Our business model is "asset light" and highly diversified – giving us the ability to adapt effectively and nimbly to changing market conditions. We have assembled successful multidisciplinary teams, leveraging advanced fundamental analysis with deep quantitative and weather research capabilities. Our activities are underpinned by strong risk management practices and by powerful technology and operational excellence.

We have exceptional teams with diverse global backgrounds and decades of experience, and are driven by a highly collaborative culture, across products and competencies.

In 2024, Engelhart acquired Trailstone, a global energy trading and technology company. The acquisition provides us with new expertise, analytics and proprietary technology which is being used to provide risk management and optimisation services to help maximise the value of our clients' renewable power. The acquisition also expanded Engelhart's capabilities into physical natural gas across North America, a critical fuel to support the energy transition.

Our talented and experienced individuals work together according to its four company values:
Performance, Agility, Collaboration, Entrepreneurship.

Commodity Trading Analytics Internship Program

Six-Month Internship:
June 15 – December 16, 2027 Houston and NYC (full-time, on site)

Salary Range: $68,000 - $100,000 annualised

Engelhart's Internship Program offers a unique opportunity to gain hands-on experience with North American Front Office teams working at the intersection of commodities markets, data, analytics, modelling and trading. Interns will contribute to practical, data-led projects that support commercial decision-making, forecasting, risk analysis and market insight across power, gas, and broader commodity markets. To be eligible for consideration, applicants must have the right to work in the United States for the full duration of the internship and be available to commence their six-month internship on site from June 15, 2027.

The internship opportunities covered by this advert are as follows:

• Quantitative Development Intern, Houston
• Quantitative Research Intern, Houston
• NA Power & Gas Analytics Intern, Houston
• FTR Analytics Intern, Houston
• NA Structured Products & Origination Analytics Intern, Houston
• West Power Analytics Intern, New York

Applicants may indicate areas of particular interest during the process. All roles require strong analytical and technical skills, with opportunities spanning data analysis and visualisation, machine learning, forecasting, financial modelling, statistics/econometrics and quantitative modelling. Final allocation will take into account business need, candidate profile and overall fit.

Please note:

annualized salary will depend on location, role requirements and the candidate's overall profile, including educational background, relevant skills and experience. Final compensation will be determined as part of the offer process, and the upper end of the advertised range is expected to apply only in limited cases.

What You Can Expect

• Hands-on experience on a commodities trading desk, working on analytical projects with real commercial relevance.
• Exposure to how data, analytics, visualisation, forecasting, machine learning and modelling support trading and commercial decisions across North American power, gas and broader commodity markets.
• Close learning and mentorship from experienced front office professionals, including direct exposure to desk leadership.
• A structured six-month internship within a global commodities business, combining cohort-based learning with deep desk integration.

Example Project Areas

Depending on the internship opportunity, projects may include data analysis and visualisation, building models and analytics, improving machine learning models for power prices, gas demand or renewables, working on Monte Carlo simulations and time-series analysis, supporting pricing, valuation, optimisation or portfolio construction problems, developing AI-enabled tools,…