Quantitative Analyst

About Us

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: be bold, be collaborative, be proactive, be your best.

About the Role

We are seeking a Quantitative Analyst with a strong foundation in Python and quantitative analytics to join our Commodity Absolute Return (CAR) team in Stamford, CT. In this role, you will gather, analyze, and interpret data to support trade generation, portfolio construction, and risk management. You will also develop analytical and trading tools while collaborating closely with cross-functional teams. The environment is fast-paced, international, and offers diverse projects.

What Will You Do?

• Collaborate with the Front Office and coordinate with IT, Middle Office, and Back Office teams to ensure accurate reporting and the setup of new products.
• Gather, interpret, and analyze data to inform trading strategies, risk positions, and portfolio construction.
• Maintain and enhance Python-based infrastructure, including a volatility surfaces database.
• Develop and maintain analytical and trading tools, leveraging automation and the latest AI capabilities where possible.

What We’re Looking For

• BS or MS in Computer Science, Statistics, Mathematics, or a related field; PhD preferred but not required.
• Keen attention to detail and the ability to communicate insights effectively.
• 2-7 years of experience in Python scripting (especially pandas, NumPy, scikit-learn, and TensorFlow), quantitative analytics, and data analysis.
• Familiarity with volatility surfaces, data scraping, and trading analytics.
• Knowledge of financial instruments and experience using Bloomberg are preferred but not required.
• Excellent written and verbal communication skills in English
• Interest in or experience with commodity trading strategies.

Interested?
If you are eager to apply your quantitative and programming expertise in a dynamic trading environment, we’d love to hear from you. 

We believe in inclusivity and are therefore dedicated to ensuring all employees – across gender identity, race, ethnicity, sexual orientation, religion, life experience, background and more – feel welcome and included in the company. We promote diversity because we believe it is essential to our ability to think holistically.