eDiscovery Graduate Programme

TN United Kingdom; London; On-site; GBP 35,000 - 55,000; Full time

Job summary

Join a forward-thinking company at the forefront of financial investigations, where your analytical skills will be put to the test. This role involves working with high-profile financial services firms, tackling complex data challenges, and employing cutting-edge technologies like Generative AI. You'll be part of a dynamic team that values collaboration and innovation, helping to uncover critical insights in investigations and litigation. With a focus on professional growth and a diverse work environment, this opportunity is perfect for those eager to make a meaningful impact in the financial sector.

Qualifications

• Working towards an honours degree in any subject, preferably STEM.
• Minimum grade 4/C GCSE in English Language and Maths.

Responsibilities

• Collecting, processing, analysing, and disclosing key data for investigations.
• Collaborating with document review professionals and legal counsel.
• Creating visualisations and timelines to establish fact patterns.

Skills

Data Analysis

Machine Learning

Automation

Visualisation Techniques

Collaboration

Education

Honours Degree

GCSE in English Language

GCSE in Maths

A-levels/Five Highers

Job description

Social network you want to login/join with:

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.).

Requirements

We operate an open access policy, meaning we don’t screen out applications on your academic performance alone. You will, however, need to be working towards an honours degree in any subject (STEM also welcome), have a minimum of grade 4/C GCSE (or equivalent) in English Language and Maths, or in your home language if you do not hold English Language GCSE, and three A-levels/Five Highers (or equivalent) to be eligible to apply.