Quantitative Developer
3 days ago
Role overview:
The Physical Commodities Quantitative Development 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 physical commodities 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, Math, Statistics or any other STEM related field
- BAM will only consider student candidates with graduation dates between Winter 2026 and Spring 2027
- 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
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