This position is primarily responsible for leading the development, management, enhancement, and optimization of fraud prevention and detection strategies, analytics, and monitoring across cards, digital banking, and emerging payment channels by leveraging data analytics, business insights, and risk-based decision-making. The role focuses on continuously improving fraud controls, rules, policies, and analytical models to proactively identify, prevent, and mitigate fraud risks, minimize fraud losses, improve asset recovery, reduce false positives, and support the Bank's growth, regulatory compliance, customer protection, and operational efficiency objectives.

Responsible for managing a team of credit and debit cards fraud risk team with the objective of achieving fraud detection rate of at least 95%, false-positive review ratio of 5% (Alert Only) and controlling gross fraud losses-to-sales to be
Lead the development of fraud prevention and detection strategies across the credit & debit card lifecycle, including application, activation, card usage, e-commerce, card-not-present (CNP), card-present (CP), account takeover, and scam-related transactions
Oversee and lead the optimization of fraud risk-reward tradeoffs by identifying opportunities to reduce fraud losses while minimizing customer friction, false positive declines, and operational costs.
Conduct regular reviews of fraud rules, thresholds, velocity controls, and risk parameters to improve fraud detection effectiveness and authorization performance. Monitor the effectiveness of fraud controls and recommend strategy enhancements to improve fraud detection, customer experience, and operational efficiency
Oversee the performance of deep-dive analyses of fraud cases, transaction patterns, portfolio performance, and loss drivers to identify root causes, emerging risks, and opportunities for fraud control enhancement
Ensure fraud models, scorecards, and analytical frameworks remain current, accurate, and effective, while evaluating and recommending opportunities for AI and machine learning adoption to enhance fraud detection and decision-making capabilities
Apprise senior management on fraud risk exposures, risk trends, and mitigation opportunities

Qualifications

Has 10-15 years progressive experience in fraud risk management, financial crime, risk analytics, or fraud operations.
Has hands-on fraud analytics experience analyzing large-scale transactional and customer data
Has experience in developing and managing fraud detection models
Has experience in managing Enterprise Fraud Management Systems (EFMS)

FRAUD RISK OFFICER