- Carry out data analytics on large structured and unstructured datasets using a wide range of database management systems, BI reporting and visualization software
- Carry out investigative methodologies to identify issues and gather relevant evidence
- Assist in developing tools/solutions directed towards future prevention, continuous monitoring, detection and investigation of occupational fraud and financial crime
- Develop supporting material on the benefits of forensic data analytics for clients and fraud examiners, explaining how it can be applied to their issues
- Ensure proper execution of fieldwork as per work plan and adherence to assignment mandates
- Assist in drafting detailed reports on observations/findings within scheduled timelines
- Summarize and communicate analysis results with accuracy and attention to detail
- Liaise with clients and build on existing client relationships
- Ensure compliance to the firm's risk management policies and procedures
KEY ATTRIBUTES
- Strong analytical and problem solving skills
- Strong quantitative ability with aptitude to manipulate, interpret, and present data
- Demonstrated track-record of efficient project execution
- In-depth understanding of Forensic investigation process and demonstrated capabilities of using Forensic Data Analytical tools for conducting analysis and gathering evidence
- Ability to work within tight deadlines and tough client conditions, which may require working for extended hours
- Experience of data extraction, analysis, cleaning, quality, and manipulation skills
- Experience of handling large data volumes (including efficiency and scalability concepts)
- Experience in big data analysis and manipulation with any of the following software: MySQL, ACL, IDEA, Tableau and Power BI.
- Knowledge of statistical techniques and analysis such as regression, clustering, sampling, social network analysis, etc.
KEY EXPERIENCE PARAMETERS
- Qualified with a relevant degree in Computer Science, Engineering, Mathematics or related fields
- Post-qualification work experience of 4 to 5 years, with at least 3 years experience in Forensic Data Analytics
- Professional certificate/degree in Forensic Accounting would be an added advantage
