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Tabby, a rapidly growing BNPL (Buy Now Pay Later) fintech company, is seeking a Head of Anti-Fraud to lead the development and execution of a comprehensive fraud risk management strategy. This is a key leadership position responsible for safeguarding the platform and customers from fraudulent activities while ensuring compliance with SAMA (Saudi Arabian Monetary Authority) regulations.
Key responsibilities include:
- Developing and executing an anti-fraud strategy aligned with SAMA Anti-Fraud Rules
- Utilizing data analysis, statistical modeling, and fraud detection tools to identify suspicious patterns and anomalies in financial transactions
- Implementing and managing monitoring systems to detect and investigate potential fraud incidents
- Conducting required investigations and managing anti-fraud risk in accordance with regulations, policies, and procedures
- Preparing anti-fraud reports for the Board of Directors
- Serving as the primary point of contact with SAMA regulators, presenting the company's anti-fraud unit, strategies, policies, processes, and metrics
- Collaborating with the credit risk team to establish and continuously enhance fraud prevention, mitigation, and detection rules and scenarios
- Creating internal awareness programs on fraud risks across the organization
- Researching emerging fraud trends in BNPL, digital financing, payments, and fintech sectors, working with risk and product teams to implement mitigation systems
- Conducting periodic assessments of monitoring rules to validate the effectiveness of fraud detection and prevention systems
Required qualifications:
- Bachelor's degree in Mathematics, Computer Science, or related technical field
- 8+ years of fraud prevention experience (fintech experience highly valued)
- Proven track record leading end-to-end standardization of fraud risk identification and detection procedures
- Experience working with SAMA regulations
- Strong analytical and data capabilities
- Excellent verbal and written communication skills
- Ability to lead interactions with both business and technical teams
- Structured problem-solving approach with strong quantitative skills
- Comfort working in ambiguous environments with intellectual curiosity
Desired skills: SQL, Python, and visualization technologies such as Tableau.
