Website Ernst & Young Global Limited (EY)
EY is building a better working world by creating new value for clients, people, society, the planet, while building trust in the capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
A Forensics Technology Senior Associate / Assistant Manager is responsible for leveraging technology and data analytic tools to assist in forensic investigations and litigation support. This role requires a combination of investigative, technological, and legal skills to uncovering digital evidence.
Duties and Responsibilities:
- Utilize forensic data analytics tools to uncover and analyze data from finance, procurement, HR, and other departments for major South African companies, identifying patterns, anomalies, and evidence to support investigations and legalproceedings. Gather, analyze, and document electronic evidence to be used in legal proceedings.
- Collaborate with team members on cyber-crime and forensic data analyticsinvestigations.
- Maintain and update knowledge of forensic data analytics technology and softwaresolutions.
- Enhance existing forensic data analytics practices and processes to drive efficiencyand effectiveness.
- Conduct complex data analysis to support forensic accounting investigations.
- Develop and maintain relationships with multi-disciplinary teams to provide top-endsolutions during investigations.
- Support the leadership team and the project manager on the operational level andact as a role model for more junior team members.
Job Requirements:
- Bachelor’s Degree in Computer Science, Information Systems, Forensic Accountancy, or a related field is required.
- Approximately 3-6 years of experience in forensic data analytics, digital forensics, eDiscovery, cyber investigations, or a related field.
- Proficiency with SQL, Power BI, and other data analytics tools.
- Certifications such as Certified Fraud Examiner (CFE) or Certified Data Analyst (CDA) are preferred.
- Strong understanding of business processes, operating systems, databases, and mobile technologies.
- Understanding of cyber-crime and laws related to digital forensic evidence.
- Experience with MS SQL Server, Power BI and/or Alteryx will be beneficial.
- Excellent problem-solving skills with a strong attention to detail.
- Strong analytical and communication skills, with the ability to collaborate effectively with multi-disciplinary teams.
- Excellent verbal and written communication skills, especially in explaining technical matters to non-technical audiences.