3–5 years' experience in fraud investigations, payment risk, or AML transaction monitoring, ideally in a fast-growing fintech, remittance, or PSP environment
Strong SQL skills, comfortable writing complex queries independently and validating data at scale, not just running pre-built reports
Solid working knowledge of fraud typologies (ATO, card testing, mule networks, APP scams, first-party fraud) and how they connect to detection logic
A track record of turning case-level findings into actual rule or policy changes, not just flagging issues and moving on
Sharp attention to detail across timestamps, device/IP/card sequencing, and behavioural patterns
Clear, structured written communication, able to produce a case pack or rule proposal that stands on its own without a follow-up meeting
Comfortable working with real autonomy. This role has genuine influence over fraud rules and customer experience across multiple markets
Nice to have requirements
Python/pandas for deeper, ad hoc analysis
Experience working across multiple regulatory jurisdictions or in cross-border payments
Familiarity with AML/CFT frameworks and regulatory reporting
Experience using AI/LLM-assisted tools in an investigative workflow
GK
This is a preview of the role
Sign in to your GoKazini account to see the company name, full job details, salary information, and how to apply.