Manager - Forensics

RNA Resources Group

Role & responsibilities

Forensic reviews

• Managing complex fraud investigation across Landmark Group.
• Conduct investigations of suspected/ alleged frauds as per standard investigation methodologies.
• Work closely with Senior Manager in undertaking investigations to gather forensic evidence, conduct data analytics, in-depth reviews, and produce investigative findings.
• Maintain continuous and close collaboration with other team members to ensure seamless and effective communication/ inputs throughout all phases of the projects.
• Manage outsourced business partners by directing, supervising, and reviewing investigations undertaken by them, including validation of findings and reporting quality.
• Assisting General Manager and Head - Forensics in undertaking interviews by preparing Interview strategies, Interview files, etc.
• Prepare detailed investigation reports, Senior Management Updates, Audit Committee Presentations - outlining findings, conclusions, and remedial action plan.

2.Risk assessments and mitigation

• Identify vulnerabilities that created fraud opportunities within
• Undertake proactive risk assessments, process reviews, and develop strategies to mitigate identified risks.
• Develop and implement strategies to mitigate the identified risks and prevent future occurrences

3.Dispute assistance

• Work closely with the Business and other teams to take appropriate actions on identified fraud cases.
• Collaborate with legal teams and external advisors to resolve disputes efficiently and effectively.

4.Culture building

• Fostering ethical culture within the organization by assisting General Manager and Head - Forensics in providing training, conducting workshops, Townhalls and roadshows.

5.Technology expertise

• Demonstrate proficiency in leading forensic eDiscovery tools such as Intella, Relativity, or other industry- standard software.
• Demonstrate the ability to review and analyze complex data, including proficiency in data analytics applications such as MS Excel, MS Access, and IDEA.
• Knowledge of statistical platforms such as Python, R, SAS would be an added advantage.
• Utilize the tools to conduct