2027 Broker Relations Data Analyst Intern, New York

2027 Broker Relations Data Analyst Intern

Location: New York, New York

About Millennium

Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation, and focus, Millennium’s mission is to deliver results for our investors.

Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management, and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve, and build lasting impact over time.

Meet the Team

Platform Solutions is Millennium’s rapidly evolving organization that leverages technology to deliver proprietary intelligence and resources to our investment professionals at scale. Within the team, Broker Relations manages relationships with brokerage firms to help ensure access to high-quality execution services, research, and other resources. Working closely with portfolio managers and traders, the team evaluates execution quality and broker performance while providing senior management with insights into commission spending and cost-saving opportunities.

What You’ll Do

• Analyze large datasets using statistical techniques to identify patterns, trends, and actionable business insights
• Develop predictive models and machine learning algorithms to address complex business challenges and improve processes
• Build clear data visualizations, dashboards, and infographic-style reports that effectively communicate findings to stakeholders
• Design and implement efficient data pipelines that extract, transform, and load information from multiple sources
• Partner with management and other stakeholders to translate business requirements into technical solutions while enhancing the existing analytics product suite

What You Bring

• Graduating between December 2027 and June 2028
• Expected GPA of 3.5 or above
• Pursuing an undergraduate degree in computer science, statistics, data science, or a related technical discipline
• Strong Python programming skills, including experience with libraries and frameworks such as Pandas, NumPy, PySpark, or Spark
• Familiarity with data visualization, dashboard development, machine learning, large-scale data analysis, data pipelines, and Git
• Understanding of statistical techniques, data modeling, anomaly detection, and segmentation, with the ability to translate complex findings into actionable insights
• Strong organizational skills, attention to detail, and the ability to prioritize effectively in a fast-paced environment
• Clear communication, intellectual curiosity, and a collaborative approach to learning and problem-solving

Salary Range

The estimated annual salary for this position is $110,000, specific to New York and may change in the future.