Fraud Analyst

The iKhokha talent team is on the lookout for a dynamic Fraud Analyst to join our tribe in Durban. If you’re passionate about conducting fraud and privacy risk assessments, love diving into forensic investigations, and are excited by the challenge of reducing fraud, this could be your next big move! So, what will you do?  In this role, you’ll be at the forefront of keeping iKhokha secure by identifying, investigating, reporting on and reducing merchant fraud. Your insights will directly shape how we safeguard our operations and protect our merchants —making you a key player in our mission to stay ahead of fraudsters. In addition to the above, you will:  Monitor & investigate all alerts being generated by anti-fraud screening tools (daily). Monitor & investigate all reported findings from ABSA, PASA & Nedbank. Monitor and investigate any suspicious activity in day-to-day escalations from various departments of the business. Using sound investigative skills/AML & Fraud experience, investigate any suspicious transactions and or Merchants for untoward/fraudulent activity. Ensuring that legitimate merchants are not impacted where not necessary, but at the same time investigating and suspending transactions that are deemed to be an unacceptable AML risk for iKhokha. Reporting STR/SAR’s on GoAml in terms of Section 29 of the FIC Act. Keeping a good relationship with the ABSA/Nedbank fraud teams and liaising with these teams with regards to suspicious activity and investigations. Ensuring that suspect/suspended transactions and or merchants are reported to the business and being correctly recorded withing the relevant databases. Assisting law enforcement, ABSA, PASA or the schemes with reporting on requested merchant fraud. Ensuring that the business is fully aware of their obligations towards AML, Fraud & Anti-Bribery and Corruption. This includes induction & annual staff training. Assist the Team lead as required by ensuring that training content is up to date with latest industry standards and is effective in respect of staff understanding and engagement. Storing digital evidence that staff have been trained. Making AML / FICA / Fraud risk-based decisions when considering all available data, training by head of AML and pervious experience.