Summer Portfolio Analytics Intern: Data-Driven Insights

Churchill Asset Management; New York (NY); On-site; USD 34,000 - 49,000; Full time

Job summary

Churchill Asset Management, a TIAA/Nuveen affiliate, seeks a data-focused student or recent graduate in New York City for a paid internship focusing on data analysis and performance metrics. You will support Investor Solutions and Client Services with DDQs, RFPs and reporting.

The role emphasizes SQL, Python, and Power BI, strong communication, detail orientation, and the ability to turn data into actionable insights in a fast-paced environment.

Qualifications

• Pursuing junior/senior with Class of 2028/2029 and a quantitative degree.
• Strong SQL, Python and/or Power BI skills; ability to express complex ideas clearly.
• Attention to detail; careful review of facts and figures; identify errors.
• Familiarity with private credit markets is a plus.
• Strong interpersonal and written communication skills.
• Proven collaboration in a fast-paced, results-driven team environment.
• Demonstrated leadership with ability to negotiate and influence.
• Creative thinker; connect ideas and project outcomes.

Responsibilities

• Evaluating the effectiveness of existing data, proposing data-driven improvements.
• Calculation, review and delivery of performance metrics and investment track records.
• Using data analytics to identify risks and opportunities and mitigate them.
• Providing data support for Investor Solutions Group & Client Services with investor requests, DDQs, RFPs and reports.

Skills

Data analysis

Communication

Collaboration

Problem solving

Adaptability

Accountability

Leadership

Education

Bachelor’s degree in finance or related field

High School Preferred

Tools

SQL

Python

Power BI

Job description

Churchill Asset Management, a TIAA/Nuveen affiliate, seeks a data-focused student or recent graduate in New York City for a paid internship focusing on data analysis and performance metrics. You will support Investor Solutions and Client Services with DDQs, RFPs and reporting.

The role emphasizes SQL, Python, and Power BI, strong communication, detail orientation, and the ability to turn data into actionable insights in a fast-paced environment.