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Our team analyses unstructured, semi-structured and structured data using a wide variety of leading and emerging technologies. This includes Generative AI for investigations and litigation into price fixing, misappropriation of funds, employee misconduct, financial crime and much more. The eDiscovery lifecycle covers data collection, processing, analysis, review, and disclosure. We often work on terabytes of data representing tens of millions of documents, chat messages, and data points.

What you will be doing

  • Working in our Financial Services (FS) with some of the most high-profile financial services firms and their outside counsels.
  • Helping to collect, process, analyse and disclose key data in investigations and litigation, including the creation of visualisations and timelines to help establish fact patterns.
  • Managing and collaborating with document review professionals, legal counsel and other teams supporting our clients.
  • Solving client issues using a wide range of technology, analytical techniques, machine learning and automation.
  • Adding defensibility to the legal and investigative process.
  • Becoming familiar with the Forensics domain (Anti Money Laundering, Counter Terrorism Financing, Sanctions, Fraud, Anti Bribery and Corruption, etc.).

Programme length

Three years

Professional qualification

Digital forensics, data collection tools, data visualisations and more

Eligibility for applying

To find out more about eligibility requirements and visa sponsorship, please visit the individual programme pages on our website to learn more.

EY recognises that it has clear obligations towards all its people and the community at large to ensure that partners, employees and job applicants are afforded equal opportunities to enter employment and progress within the firm. As an employer committed to establishing an inclusive environment free from unlawful discrimination, the firm promotes the fair treatment of staff members and job applicants regardless of their sex, gender identity, marital or civil partnership status, race, ethnic or national origin, disability, religion, sexual orientation, age or pregnancy/maternity status.