Head of Fraud Systems Management

Core Profile

This role is accountable for developing and executing the company's fraud systems strategy, integrating advanced technologies such as AI, machine learning, and real-time monitoring to safeguard both the business and its customers. It ensures fraud and AML systems are optimized, regulatory-compliant, and effective against evolving threats. This leader closely partners with Product and Tech teams to ensure system capabilities align with investigative needs and business priorities.

What you will do:

• Strategic Ownership: Define and drive the company-wide fraud system strategy in coordination with leadership, Risk, Tech, and Product teams.
• Implementation & Optimization: Lead end-to-end system design, rollout, and continuous improvement of fraud/AML detection tools.
• Regulatory Alignment: Ensure systems meet all AML, KYC, and data privacy requirements; recommend updates based on regulatory changes.
• Threat Intelligence: Analyze fraud trends to proactively adjust detection parameters and system configurations.
• Performance Monitoring: Ensure 99.9% uptime of fraud systems; lead resolution of issues with root-cause identification and remediation timelines.
• Cross-functional Collaboration: Partner with InfoSec, Risk, Compliance, Tech, and Product to deliver integrated, scalable solutions.
• Vendor Management: Oversee vendor selection, evaluation, and integration of third-party fraud technologies.
• Team Leadership: Manage and mentor a team, setting KPIs, providing feedback, and fostering continuous development.
• Awareness & Training: Design fraud risk awareness initiatives leveraging system data for internal teams and clients.

What you need to succeed:

Fraud-Specific:

• Fraud Pattern Recognition & Risk Scoring
• AML/KYC Systems Compliance
• Machine Learning & AI in Fraud Prevention

Technical:

• SQL (Databricks, Oracle), Data Visualization (Power BI, Tableau)
• Transaction Monitoring, Real-time Analytics Tools

Leadership & Soft Skills:

• Strategic Thinking & Decision-Making
• Incident Response & Crisis Communication
• Cross-functional Influence & Collaboration
• Team Coaching & Performance Management

Required Qualifications

Experience:

• Minimum 8 years in fraud/risk roles in fintech or financial services
• At least 3 years in a leadership capacity
• Strong hands-on expertise in fraud detection systems, machine learning applications, and regulatory reporting
• Experience with coding (SQL) and data analysis

Education:

• Bachelor’s Degree in Mathematics, Statistics, Computer Science, Information Systems, or related fields

Preferred:

• Direct experience with fintech-specific threats (e.g., ATOs, synthetic ID fraud)
• Proven success in system implementation and vendor negotiations
• Agile or fast-paced environment experience