Data Analyst - Operations (Summer Internship)

Overview

Full Time

Skills

Trading
Backbone.js
KPI
Process Improvement
Workflow
Data Processing
Process Flow
Knowledge Sharing
Collaboration
Treasury
Documentation
Computer Science
Data Science
Python
Tableau
Data Visualization
Finance
Communication
Attention To Detail
Analytical Skill

Job Details

The Futures Data & Operations team is a critical part of BAM's ongoing "Futures Modernization" initiative, which aims to enhance the end-to-end futures lifecycle across all asset classes. The team partners closely with Technology, Treasury, and external stakeholders to deliver operational efficiencies, reduce risk, and support the firm's trading activities. As a 2026 Summer Associate, you will have the opportunity to work alongside experienced professionals, contribute to impactful projects, and gain exposure to the operational backbone of a leading multi-strategy hedge fund.

Summer 2026 opportunities are available in our New York Office.

RESPONSIBILITIES
  • Analyze large and complex datasets to generate key performance indicators (KPIs) and operational metrics that support the Futures Modernization initiative.
  • Meet with team members to understand workflow pain points and identify opportunities for process improvement.
  • Use Python and other programming skills to automate manual workflows and enhance data processing.
  • Develop process flow charts and draft operational procedure documents to support team knowledge sharing and efficiency.
  • Collaborate with stakeholders across Operations, Technology, and Treasury to support ongoing projects and daily business needs.
  • Ensure accuracy and attention to detail in all analytical and documentation work.

QUALIFICATIONS & REQUIREMENTS
  • Undergraduate student graduating between December 2026 and May 2027, majoring in Computer Science, Data Science, or a related STEM field.
  • Proficiency in Python; experience with Tableau or similar data visualization tools is a plus.
  • Demonstrated ability to analyze and work with large datasets.
  • Interest in financial markets and operations; prior finance experience is not required.
  • Excellent organizational, interpersonal, and communication skills.
  • Strong initiative, ownership mentality, and ability to work independently.
  • High attention to detail and accuracy in analytical work.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.