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.
Your key responsibilities
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
To qualify for the role you must have
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#
What working at EY offers
We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer:
· Support, coaching and feedback from some of the most engaging colleagues around
· Opportunities to develop new skills and progress your career
· The freedom and flexibility to handle your role in a way that’s right for you
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.
As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality.
If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
Make your mark.