Job Opportunities API

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: Performance, Agility, Collaboration, Entrepreneurship . About the Role   We are looking for a Junior Quantitative Developer to join our Quantitative Research & Development team, supporting our West Power Trading and Carbon desks based in New York City. Reporting to  the  Lead  Quantitative  Developer  in Stamford, CT, you will work closely with traders, analysts, and fellow quants to develop and  maintain  the quantitative tools, analytics, and models that support commercial decision-making across North American power and environmental markets.   This is an excellent opportunity for an early-career quantitative developer who enjoys solving complex problems at the intersection of software engineering, mathematics, and commodity markets. You will gain exposure to one of the most dynamic areas of energy trading while contributing directly to trading strategies, pricing, risk management, and market analysis.   This will be a full-time role, owning the following  responsibilities :   Support the  West Power and Carbon trading desks  by working  closely with quant researchers to  productionize ,  optimize  and support ML-based models relied upon by traders and analysts .     Enhance and  maintain  cloud-based infrastructure  utilized  by quant researchers and analysts to prototype and test new quant models .   Contribute to the automation of trading and operational processes to improve efficiency and reliability.   Monitor and troubleshoot production systems and respond to issues impacting trading activities.   Work closely with colleagues across New York ,  Stamford   and Houston  within a collaborative, fast-paced trading environment.     About You   You are a curious and analytical problem solver with a strong technical foundation and an interest in commodity markets. You enjoy working collaboratively, are eager to learn from experienced market participants, and thrive in an environment where technology has a direct commercial impact.   The following  education, experiences and skills  are essential for application :   A  bachelor’s  degree  in  a STEM subject , or a related quantitative  fiel d from  a premier  academic institution.   Two to four years of hands-on experience .   Strong practical skills with Python ( e.g.  pandas/ numpy / plotly /Jupyter) .   Solid understand