EY Associate, Forensic Data Analytics, Belfast in Belfast, United Kingdom

Associate, Forensic Data Analytics, Belfast


Requisition # BEL0010H

Post Date May 03, 2018

EY’s Forensic Technology & Discovery Services (FTDS) team forms part of the Fraud Investigation & Dispute Services (FIDS) business unit and specialises in forensic technology services encompassing eDiscovery, Forensic Data Analytics and IT Forensic investigations. Using state of the art tools, our teams support clients with compliance management, fraud investigation and fraud detection.

The Forensic Data Analytics team are a global group of technical specialists that practice the full life cycle of data management from the early stages of data scoping and capture, to its management, analysis and reporting. The nature of our work typically requires working with large datasets from disparate data sources to support fraud investigations and disputes for our clients covering a range of industries. This is achieved by combining deep forensic investigation knowledge with advanced data analytics techniques such as investigative data linking, social network analysis, statistics, artificial intelligence, machine learning and predictive modelling.

Our Forensic Technology & Discovery Services (FTDS) lab provides cutting edge forensic technology infrastructure and tools necessary to uncover the most complex frauds close to the occurrence.

What you will do:

Carry out reactive and proactive data analysis of large structured and unstructured datasets using a wide range of database management systems, BI reporting and visualisation software

Work with clients, fraud investigators, internal and external auditors, lawyers and regulatory authorities in sensitive and adversarial situations

Work in our specialist forensic technology labs and onsite with clients to help leverage knowledge from their data to measure fraud risks and losses

Assist with future prevention, continuous monitoring, detection and investigation of occupational fraud, waste and financial crime.

Working to support clients and fraud examiners on the benefits of forensic data analysis and how it can be applied to their issues


Degree qualified with a 2:1 or above in a relevant degree Computer Science, Mathematics or related degree;

Experience of data extraction, analysis, cleansing, quality and manipulation skills

Experience of handling large data volumes (incl. efficiency and scalability concepts)

Experience in data analysis and manipulation with any of the following software: SQL (SQL Server), SAS, and SPSS.

Knowledge of statistical techniques and analysis (such as regression, clustering, sampling, social network analysis)

Understanding of at least one scripting language such as Java, C++, C#

Who we are

EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance.