FRAUD RISK OFFICER

Bank of the Philippine Islands (BPI); Manila; Sur place; PHP 2 000 000 - 3 000 000; Plein temps

Résumé du poste

The Bank of the Philippine Islands (BPI) seeks a senior leader to drive fraud prevention and detection across cards, digital banking, and emerging channels. You will lead risk analytics, model optimization, and policy development to proactively identify and mitigate fraud while balancing customer experience and costs.

You will oversee a team, manage enterprise fraud systems, and collaborate with senior management to communicate risk trends and opportunities for improvement.

Qualifications

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

Responsabilités

• Lead the development, management, enhancement, and optimization of fraud prevention and detection strategies across cards, digital banking, and emerging payment channels.
• Oversee a team of credit and debit cards fraud risk professionals to achieve high detection rates and controlled false positives.
• Optimize fraud risk-reward tradeoffs by reducing losses while minimizing customer friction and costs.
• Regularly review rules, thresholds, and risk parameters to improve detection and authorization performance.
• Conduct deep-dive analyses of fraud cases and loss drivers to identify root causes and improvement opportunities.
• Ensure fraud models, scorecards, and analytic frameworks remain current; evaluate AI/ML adoption for detection and decision-making.
• Apprise senior management on fraud risk exposures, trends, and mitigation opportunities.

Connaissances

Fraud risk management

Data analytics

Risk analytics

Team leadership

Outils

EFMS

Description du poste

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)