Forensic Data Analytics Associate - London

  • Competitive
  • London, England, United Kingdom
  • Permanent, Full time
  • EY.
  • 16 Jan 17

Forensic Data Analytics Associate - London

Forensic Data Analytics (FDA) is a diverse, global, data-focused speciality within EYs Forensic Technology & Discovery Services (FTDS) team. As part of the Fraud Investigation & Dispute Services (FIDS) business unit, this group 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 fraud detection, fraud investigation and compliance management.

The FDA team of technical specialists 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 data trail of all kinds of complex fraud. Our offices are open and modern, supporting a culture of flexible working. Our people values promote inclusiveness, development and engagement.

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.
  • Develop supporting material on the benefits of forensic data analysis for clients and fraud examiners, explaining how it can be applied to their issues

Requirements:

  • Degree qualified with a 2:1 or above in a relevant degree in Computer Science, Engineering, 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 big data analysis and manipulation with any of the following software: MySQL, 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 Python, PHP, VB; and at least two programming language such as Java, C++, C#, Matlab or R.

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.