Anti Fraud Manager
On-siteDubai, Dubai, United Arab Emirates
Job Summary
Own the detection stack by designing, implementing, and continuously tuning fraud prevention controls across payment channels to reduce false positives. Drive end-to-end automation through decisioning logic and real-time controls while partnering with Engineering and Data to advance predictive detection capabilities. Lead complex investigations into account takeover, mule activity, and organised networks, converting insights into measurable prevention outcomes and root-cause analysis to close control gaps. Bridge fraud and AML by ensuring key indicators feed into risk assessments and customer ratings, maintaining documented escalation processes for SAR/STR filings aligned with Malta regulatory obligations. Manage fraud loss mitigation and ensure all investigations meet regulatory documentation standards for governance review.
Required Qualifications
- 8+ years in fraud prevention, financial crime, compliance, risk, or investigations
- Experience running the full lifecycle: detection design, complex investigation, escalation, and regulatory documentation
- Understanding of the fraud-AML connection
- Knowledge of how account takeover, synthetic identity, and mule networks create money laundering exposure
- Ability to document fraud-AML exposure in a way Compliance and regulators can act on
- Technical understanding of how fraud models are trained and deployed
- Understanding of how rules engines work
- Ability to collaborate with engineers on detection logic without losing precision in translation
- Systems thinking approach to control design
- Proven people management experience
- Ability to brief the MLRO on SAR rationale
- Ability to brief Engineering on detection logic requirements
- Excellent written and verbal English
- Ability to make judgment calls with incomplete data
- Authority to build detection systems properly
Desired Qualifications
- Experience in a regulated brokerage, CFD, forex, crypto, or payments environment
- Familiarity with FRAML models, unified risk scoring, or integrated fraud and AML monitoring frameworks
- Hands-on experience with fraud detection tools, case management platforms, rules engines, or device and behavioural intelligence solutions
- CFE, CAMS, or equivalent certification
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.