University Associate, Disputes & Economics — Data Analytics

Ankura; New York, Northern (NY, KY); Hybrid; USD 50,000 - 120,000; Full time

Job summary

Ankura seeks a University Associate in the Disputes & Economics group in New York to support financial, accounting, and economic analyses for complex litigation engagements. You will load client data, develop financial models, and contribute to client reports and exhibits as part of a collaborative project team.

The role emphasizes analytical rigor, data gathering, and detailed analysis, with opportunities to grow technical skills in SQL, R, Python, and SAS.

Qualifications

• Completion of an undergraduate degree between December 2026 and August 2027 with a major in Finance, Economics, Accounting, Statistics, Mathematics, Computer Science, or other analytical field.
• GPA of 3.3 or better in the chosen program.
• Working knowledge of Word, Excel, PowerPoint, and Access.
• Strong research and analytical skills; excellent written and oral communication.
• Willingness to travel and work overtime when needed.
• Advanced technical skills (SQL, R, Python, SAS) are a plus.

Responsibilities

• Perform financial, accounting, economic, and statistical analyses as part of a project team.
• Load and validate data from clients into structured formats.
• Develop models using data analytic tools and programs.
• Conduct detailed spreadsheet and database analyses.
• Assist with data gathering, including document review, research, and data entry quality control.
• Prepare client reports and exhibits.

Skills

Research & analytics

Oral & written communication

Problem solving

Team collaboration

Education

Undergraduate degree in Finance, Economics, Accounting, Statistics, Mathematics, Computer Science (Dec 2026–Aug 2027)

Tools

SQL

R

Python

SAS

Job description

Ankura seeks a University Associate in the Disputes & Economics group in New York to support financial, accounting, and economic analyses for complex litigation engagements. You will load client data, develop financial models, and contribute to client reports and exhibits as part of a collaborative project team.

The role emphasizes analytical rigor, data gathering, and detailed analysis, with opportunities to grow technical skills in SQL, R, Python, and SAS.