Forensic Technology – Data Analytics Graduate Programme
Investigate, analyse and find patterns in huge data sets involving millions of transactions to solve our clients' fraud, regulatory and compliance issues.
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 individuals who will succeed at EY in the desired role and future qualifications, therefore throughout our recruitment process your academic performance will be considered against your online assessment scores to determine your suitability for an EY role. We are also proud to partner with RARE recruitment, so that your application can be processed in the context of your socio-economic background. This allows us to give you the maximum credit for your achievements, assessing whether you have overachieved in light of your personal circumstances. Read more on our approach here.
SQL, Data visualisation, Python and more
London only programme
How’s it structured?
The Forensic Technology and Data Services (FTDS) team uses cutting edge technology and analytics to solve some of the most pressing fraud, compliance and regulatory issues of our biggest global clients. On the graduate programme you should expect to to quickly learn core data science and consulting skills through a combination of high quality internal and external training courses. You'll gain industry recognised certifications and sector knowledge on the job.
You should expect to be working on client engagements as soon as you join, applying your developing analytics skills across a wide range of clients and sectors (including Financial Services, Life Sciences, Oil and Gas, and many others). The core work that we conduct in FTDS includes anti-bribery and corruption, sanctions screening, corporate fraud investigations, trader surveillance and market manipulation, and audit and compliance analytics, helping us to build greater trust between organisations and society.
As well as learning the skills to be an effective data science consultant, you'll learn how to solve complex problems and gain experience working directly with clients.
Overview of the programme
Year 1: Core data science skills including data ingestion, data quality analysis, manipulation, analysis and visualisation. Alongside this technical learning you'll also be taught the foundations of Quality and Risk Management and accounting as well as specific sector or domain knowledge.
Year 2: Building on the first year you'll continue to learn more advanced data science disciplines and tools that are used within the team such as advanced machine learning and AI technologies.
Year 3: You'll undertake a proof-of-concept project that pulls all these skills together and delivers a prototype product or service that can be deployed by the team, or the wider firm.
As the programme progresses, you’ll become more familiar with handling large data sets and designing and developing solutions. You could use social network analysis, concept clustering, predictive analytics, text mining, data visualisation and more. You’ll have access to formal and informal support, training and development opportunities. You'll participate in our annual Development and Skills Conference, and could be offered the chance to travel abroad for an international project. By the end of the programme, you'll likely have developed the skills and knowledge to receive a promotion and continue building a great career at EY.