Forensic Data Analytics Graduate Programme - September 2026 intake

Forensic Data Analytics Graduate Programme - September 2026 intake

Investigate, analyse and find patterns in huge data sets involving millions of transactions to solve our clients' fraud, regulatory and compliance issues.

Programme overview

Our team analyse data for investigations into price fixing, misappropriation of funds, employee misconduct, financial crime and much more. We use the latest data tools and technologies (Spark, Scala, SQL, Python, Alteryx) to solve our clients' most sensitive and difficult issues. We process data of all types and sizes either on-premise or hosted in the Cloud. We employ a variety of Data Science models and techniques to sift through large amounts data to identify patterns and behaviours of non-compliance or fraud. Outcomes and insights are presented to stakeholders in the form of compelling stories using a variety of visualisation and reporting tools such as Power BI.

What you will 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).

What’s in it for you:

• Accelerate your technical capabilities and transformative leadership skills with future-focused courses and development programmes.
• Broaden your horizons by working on highly integrated teams across the globe and collaborate with people of diverse backgrounds — both professionally and culturally.
• Bring out the best in yourself with continuous investment in your personal well-being and career development.
• Develop your own personal purpose and help us create a positive ripple effect on our teams, our business, clients and society.

Here at EY, you’ll have the chance to build a truly exceptional experience. We’ll empower you with the latest technology, surround you with high-performing teams, and provide the global scale and diverse and inclusive culture you need to discover your full potential. Through our coaching and training programmes, you’ll develop the skills you need to stay relevant today and, in the future – all while building a network of colleagues, mentors, and leaders who will be on the journey with you at EY and beyond.

Are you ready to shape your future with confidence? Apply today.

To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need.

Eligibility for VISA sponsorship has changed for applicants based on the Skilled Worker salary threshold, with some locations needing specific right to work requirements. You can find more information about each location and graduate role requirements on our website.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

How to apply

To apply for this role and to find out more, please click on the apply button. Please note that applications may close before the application deadline, so apply early to avoid disappointment.