Role overview:
The Physical Commodities Software Engineering Intern will be expected to learn quickly in a fast-paced environment and contribute meaningfully to team’s performance. This internship offers a unique opportunity to work on cutting-edge projects, focusing on building tools that support trading activities. You will collaborate with experienced investment professionals to develop and implement quantitative models and software solutions.
Key Responsibilities:
· Assist in the design, development, and implementation of quantitative tools and models to support the physical commodities investment team
· Collaborate with traders, analysts, and other team members to understand business needs and translate them into technical solutions
· Develop, maintain and scale tools and applications using python
· Conduct data analysis and visualizations to support model development and trading processes
· Document code, processes, and methodologies to facilitate knowledge sharing and future development
· Build data visualizations and dashboards
Qualifications and requirements:
· Bachelor’s or Master’s degree in Computer Science
· BAM will only consider student candidates with graduation dates of Winter 2027 and Spring 2028.
· Strong programming skills in Python in the context of data analysis, with the ability to test ideas and models
· Familiarity and experience with data analysis and visualization tools and libraries
· Strong passion and interest in career in trading, analytics, or energy
· Ability to thrive in a fast-paced environment, strong work ethics and a proactive attitude
· Strong written and verbal communication skills
We offer:
· Steep learning curve based on mentorship program
· Exposure to senior leadership and access to industry leading tolls and technologies
· Ability of gaining hands on experience and taking responsibility from early start