Disputes & Economics Intern — AI & Data Analytics

Ankura; Washington (District of Columbia); On-site; USD 47,000 - 55,000; Full time

Job summary

Ankura is seeking an intern to join the Disputes & Economics practice in the Financial Services Advisory group in the Washington, DC area. You will work on cross-functional teams to analyze data, identify process improvements, and support AI-enabled client deliverables.

The role emphasizes financial, economic, and statistical analyses, documentation in PowerPoint, and collaboration with AI-driven workflows. Strong communication and academic performance are required.

Qualifications

• Pursuing or completing an undergraduate degree with graduation between Dec 2027 and Jun 2028.
• GPA 3.3 or better.
• Proficiency with Word, Excel, and PowerPoint.
• Familiarity with AI tools and workflow automation.
• Ability to work independently and in a team.
• Strong communication and analytical skills.

Responsibilities

• Identify gaps and opportunities for improvement and automation in processes and controls and related risks.
• Assist in gathering client data and utilizing AI to support analysis.
• Review client documentation to understand current-state processes.
• Perform financial, accounting, economic, and statistical analyses.
• Document findings using PowerPoint reports and exhibits.
• Assist with project plans, issues tracking, and status reports.
• Prepare client reports and exhibit materials.
• Present findings to the team and clients.

Skills

AI tools

Excel

PowerPoint

Word

SQL

R

Python

SAS

Teamwork

Analytical thinking

Education

Undergraduate degree in Finance, Economics, Accounting, Statistics, Mathematics, Computer Science

Tools

Power BI

Job description

Ankura is seeking an intern to join the Disputes & Economics practice in the Financial Services Advisory group in the Washington, DC area. You will work on cross-functional teams to analyze data, identify process improvements, and support AI-enabled client deliverables.

The role emphasizes financial, economic, and statistical analyses, documentation in PowerPoint, and collaboration with AI-driven workflows. Strong communication and academic performance are required.