Assurance - Financial Services - Forensics - eDiscovery - Senior - London

at  EY

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

SKILLS AND ATTRIBUTES FOR SUCCESS:

You will build your career by demonstrating a flexible working style, initiative, teaming, and the ability to learn quickly in a dynamic, and at times, highly reactive environment, focusing on the production of high-quality outputs and supporting the delivery on client requirements to often tight deadlines.

WHAT WE LOOK FOR:

We are looking for tenacious, curious, and collaborative individuals with a desire to ‘get to the bottom’ of things. Our people are intellectually rigorous, adaptable, and able to build strong relationships. We have a one-team mindset, bringing the best of EY to our clients, and this often includes teaming across service lines and countries.

YOUR KEY RESPONSIBILITIES:

• Take a central role in the provision of end-to-end support and services on eDiscovery engagements, performing tasks across the whole project lifecycle including identification, preservation, analysis, and productions.
• Use a range of industry standard software and services to support client requirements. such as EnCase, FTK, Nuix, Relativity, Reveal, Brainspace, and SQL.
• Provide direct engagement support to clients, including but not limited to user access, workstream setup, analyticts, and custom object creation within various platforms.
• Work closely with project management to ensure critical deadlines are met and engagement quality is at a high standard.
• Use problem-solving approaches to overcome unexpected issues, both technical and operational.
• Seek new ways to use existing and emerging technologies to solve client problems, e.g., our teams advise, build, and use artificial intelligence (AI) and machine learning (ML) to assist our clients, and we are now using generative AI (GenAI) as well to reshape the data investigation process.
• Build and maintain relationships with clients to develop and enhance their workflows creating synergy between teams.
• Support the training and development of junior staff on eDiscovery engagements, including overseeing their work on across all areas of the project lifecycle.
• Contribute to the ongoing development of internal procedures and methodologies including the automation of processes.

TO QUALIFY FOR THE ROLE YOU MUST HAVE:

• Professional experience in eDiscovery, digital forensics, cyber incident response, information governance, and/or data privacy, or an educational background in a related field (e.g., computer science, computer forensics, software engineering, project management, law, etc.).
• Proven experience with industry-standard forensic applications and tools such as EnCase, FTK, Nuix, Relativity, Reveal, and Brainspace.
• Experience with databases, particularly SQL programming and design of relational databases.
• Exposure to programming; e.g., industry experience or a significant implementation project at university.
• Strong independent analytical and problem-solving skills as well as strong teamwork skills.
• High risk awareness and ability to identify and reduce risk in a fast-paced environment.
• Ability to communicate technical concepts to nontechnical persons.
• Ability to produce high-quality deliverables.
• Excellent verbal and written communication skills in English, and any additional language is considered a plus.
• Adaptable and able to build strong relationships with colleagues and clients.

Ideally, you’ll also have:

• Data processing experience in Nuix, Relativity, and Reveal or equivalent industry standard tools.
• Experience in using Reveal and/or Relativity, either as user or administrator.
• Exposure to technology infrastructure including server and cloud-based solutions, particularly Microsoft 365 and Microsoft Purview.
• Exposure to digital forensic tools and analytic techniques.
• Experience working with modern data types such a chat, collaboration, audio, and video.
• Experience working with technology to enable and enhance investigation processes.
• Exposure to archiving, logging, and digital vault systems; e.g., Mimecast.
• Data visualisation experience, for example PowerBI.
• Scripting language experience, particularly SQL and Python.
• Exposure to Object Oriented programming, particularly C#, C++ or Java.