University Intern, Forensic Data & Analytics

Ankura
New York, New York, United StatesPosted Sep 9, 2026

About the role

Ankura is a team of excellence founded on innovation and growth. This position will support the Ankura Risk Advisory Business Group - one of our six practices focused on client delivery services across the Firm. Practice Overview: Forensic & Data Analytics (FD&A) specializes in the development of innovative and technology-driven approaches to solve our clients’ challenges. We have a deep expertise transforming massive amounts of disparate data into knowledge to inform critical decision making. The team provides data analytics and advisory services in a wide variety of engagements, including regulatory and fraud investigations, litigations and disputes, business process automation and improvement, and business intelligence and automated reporting. Role Overview: Interns will work in a collaborative team environment that could span across Ankura’s multidisciplinary areas of expertise. Interns will be engaged on a variety of projects, internal initiatives, training opportunities and technical challenges, office-wide intern projects, and various social events. The internship program is focused on providing interns with the opportunity to learn about Ankura and the industry, learn and utilize new skills, and develop relationships. Interns will have the opportunity to learn, use, or gain exposure to a wide variety of programs, platforms, and programming languages, including SQL, Python, C#, VBA, and Tableau.

ESSENTIAL DUTIES & RESPONSIBILITIES

Identify, research, and organize information to assess the appropriateness and sufficiency of available data; Determine the relationships among multiple data sources and types of information; Aggregate, cleanse, and normalize disparate sources of data; Analyze and interpret historical financial, operational, and transactional data; Create summaries, data visualizations, written analyses, and other presentations of work performed; Generate consistent and thorough documentation to support processes developed throughout the project li

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