
Analyst: Law Enforcement Support
- Pretoria, Gauteng
- Permanent
- Full-time
- Interpret information from various systems and records and evaluate information in the context of possible crimes being committed.
- Interact / pursue opportunities with external stakeholders / third parties, when required to discuss findings and obtain information.
- Conduct analysis of various data sets of standards to medium complexity and add value to information received to establish if there are reasonable grounds for disclosure to relevant stakeholders.
- Conduct financial analysis to ensure creation of relevant intelligence products.
- Determine relevance and completeness of information and identify gaps based on experience and judgment.
- Contextualise information according to clients’ needs and prepare relevant reports, including the creation of charts and graphics, to explain findings in matters where there is a suspicion of proceeds of crime, money laundering or terrorist financing.
- Interpret the needs of clients to ensure product output which may inform decision making.
- Generate integrated quality assured products, which are timeous and relevant.
- Provide technical input in improving the understanding and knowledge of factors that allow, promote and deter money laundering and terror financing.
- Plan and manage tasking and output under supervision.
- Assist relevant stakeholders through active involvement in joint operations and assist with technical support in instances of priority coordinated team projects.
- Update records and compile statistics related to all tasking.
- Provide input to assist in updating relevant data bases to support/enhance data analysis and improve data mining.
- Relevant University Degree
- At least three years' experience in relevant field
- Sound knowledge in any of the following fields is preferable: financial and information analysis, intelligence, forensics or internal auditing.
- Working experience in the following fields will be advantageous:
Law
Law enforcement
Accountancy
- Sound knowledge and experience using the Microsoft office suite and Excel is a prerequisite.
- Working knowledge of data analysis applications, tools, and systems will be an advantage.