Fraud Prevention & Monitoring Manager

ROLE SUMMARY:

To drive the organization's Preventive fraud defense by leveraging data analytics to develop proactive strategies, monitor real-time threats, and implement controls to mitigate fraud before it occurs.

CORE RESPONSIBILITIES:

1. Fraud Strategy & Policy

• Strategy Formulation: Define and implement the Fraud Risk Management Framework and long-term fraud strategies.
• KPI Management: Establish and monitor key performance indicators (KPIs) such as Fraud Loss Rates, False Positive Ratios, and Detection Rates.
• Control Design: Determine fraud rules and thresholds (e.g., transaction limits, velocity controls) based on the current threat landscape.

2. Fraud Data Analytics

• Predictive Modeling: Analyze historical fraud data to identify patterns and develop predictive models for early detection.
• Methodology Development: Develop and maintain fraud risk management methodologies, scoring models, and analytical tools.
• Gap Analysis: Conduct deep-dive analysis on successful fraud attacks to identify vulnerabilities in the current defense layers.

3. Real-time Monitoring & Prevention

• Alert Monitoring: Oversee the 24/7 fraud monitoring system to identify and respond to suspicious transaction patterns.
• Immediate Containment: Execute real-time actions, such as Freezing Accounts, blocking suspicious cards, or restricting access sessions based on system-generated alerts.
• Rule Optimization: Regularly tune and refine monitoring rules to reduce False Positives while maintaining high detection accuracy.

4. Governance & Reporting

• Fraud Reporting: Prepare strategic reports for senior management on fraud trends, loss performance, and the effectiveness of preventive controls.
• Framework Maintenance: Ensure all fraud tools and processes comply with the latest regulatory requirements and internal risk appetite.

QUALIFICATIONS:

• Bachelor's or Master's degree in Data Science, Statistics, Finance, Information Technology, or a related quantitative field.
• Typically 7+ years of experience in fraud prevention, with a heavy focus on data analytics within a digital banking or high-volume FinTech environment.
• Strong command of fraud detection systems (e.g., Feedzai, FeatureSpace, or similar) and data analysis tools (SQL, Python, or R).
• Proven ability to translate complex data sets into actionable fraud prevention strategies and rule sets.
• Ability to make high-pressure decisions regarding real-time threat containment and account restrictions.
• Professional certifications such as Certified Fraud Examiner (CFE) or Certified Anti-Money Laundering Specialist (CAMS) are highly preferred.
• Experience managing a team of analysts and working in an agile environment to deploy rule changes rapidly in response to new threats.