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In the Forensic Data Analytics (FDA) team, as part of Forensic and Integrity Services, we analyse data for investigations into price fixing, misappropriation of funds, employee misconduct, financial crime and much more.
What will you be doing?
- Working in UK and Ireland (UK&I) or Financial Services (FS), identify, receive and construct large composite data sets
- Solve client issues by employing the most recent and advanced tools and analytical techniques from rules-based analysis to deep neural networks and natural language processing
- Design and develop innovative modularised reusable solutions using our cutting-edge platforms and tools
- Acquire domain knowledge through working with clients in different sectors
- Become familiar with the Forensics domain (Anti Money Laundering, Counter Terrorism Financing, Sanctions, Fraud, Anti Bribery and Corruption and Compliance)
Programme duration Three years
Qualification/s you will gain SQL, Data Visualisation, Python, PowerBI and more.
Are you eligible to apply?
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 a STEM subject and have an interest in Data Analytics, have a minimum of grade 4/C GCSE (or equivalent) in English Language and Maths, and three A-levels/Five Highers (or equivalent) to be eligible to apply.
We welcome applications from all academic backgrounds and are looking for people who will succeed at EY today and tomorrow. That's why, through our recruitment process, your academic performance will be considered against your online assessment scores to determine your suitability for an EY role. We’re also proud to partner with RARE recruitment, so that your application can be processed in the context of your socio-economic background.
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.
