Systematic Quantitative Developer

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.

This is a unique opportunity to join our dynamic and expanding Systematic Trading team and contribute to the development of a high performance platform. As a Quantitative Developer you will apply your expertise in Python, statistical modeling, and Machine Learning, while learning and evolving alongside experienced systematic trading professionals with a highly collaborative environment.

Role and Responsibilities:

• Contribute to the design and production of high-performance analytical and systematic trading systems using efficient code developed using Python.
• Continuously test, debug and improve systems to ensure high reliability and performance.
• Work closely with the Systematic Trading team, comprising of Developers and researchers as well as with the central technology teams in a fast paced and highly collaborative setting.

Essential Education:

• BS, MS or PhD in either Physics, Mathematics, Electrical Engineering or Computer Science.

Essential experience and job requirements:

• 2 to 4 years experience in writing efficient and robust code using Python.
• Strong background in mathematical and statistical problem solving; experience working with machine learning.
• Commodities trading industry experience, ideally energy is a plus.
• Exposure to data science, DevOps or automated trade execution are appreciated. 
• Comfortable working in a fast-paced environment.
• Excellent communication and teamwork skills.

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.