Job Description

Req ID: 7537
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JOB PURPOSE

To enhance the fraud detection system's effectiveness by developing and maintaining risk-based detection rules and analytical models. This role supports regulatory compliance (e.g., NSRC/BNM SFDS), identifies emerging threats, and ensures continuous system accuracy through simulation, tuning, and thematic analysis.

Duties and Responsibilities

Fraud Rules Management & Typology Implementation


Implement fraud typologies, indicators, and scenarios sourced from regulatory bodies such as BNM, NSRC, and internal risk governance committees. Maintain and update fraud detection rules based on: Feedback from the investigations team Regulatory alerts and circulars Industry-wide typologies Internal incident reviews Validate and simulate new rules prior to production implementation (if applicable) to assess effectiveness and false positive rates. Monitor post-deployment rule performance to ensure detection accuracy and minimal operational impact. Maintain an up-to-date and auditable log of all rule changes in compliance with governance and audit requirements.




Periodic Tuning & Optimization


Perform regular back-testing and tuning of fraud detection rules based on evolving scam patterns, tactics, and trends (e.g., social engineering, mule account usage, malware/remote access fraud). Analyze false positives and missed detections to refine thresholds and logic conditions. Coordinate with FDS system vendors or internal tech teams for deployment and testing of rule updates. Maintain card usage parameters (e.g., country, MCC, velocity limits) to optimize fraud controls without disrupting customer experience. Apply and fine-tune fraud rules within the card authorization system to block high-risk or abnormal transactions. Data Analytics & Thematic Analysis Conduct deep-dive analysis and identify fraud patterns across channels (IBMB, cards, payment rails, etc.). Perform thematic reviews on high-frequency fraud incidents such as: + Impersonation scams
+ Account takeover
+ Mule layering schemes
+ Scam syndicate typologies
Generate insights to support operational decision-making and preventive controls.




Dashboards & Regulatory Reporting


Develop and maintain analytics dashboards and visualizations to monitor fraud metrics, scenario performance, and alert trends. Support reporting requirements to regulatory bodies, senior management, and interbank collaboration forums by providing data-driven insights. Generate daily and monthly reports on card authorization decisions, fraud attempts, and performance of control rules.




Product Monitoring Support


Ensure timely onboarding of new product codes and transaction types into the fraud detection system to support end-to-end monitoring. Liaise with business and product owners to understand new offerings and evaluate associated fraud risks. Ensure card fraud prevention practices comply with internal policies, network mandates (e.g., Visa, Mastercard), and regulatory requirements.

Qualification

- Bachelor's Degree in Banking, Finance, Information Technology, or related field.

Years of Experience

- 2-4 years of experience in fraud analytics, risk management, data science, or a similar field.

Specific Skills/Knowledge and Certification Required

Proficient in SQL, Excel, and at least one analytics or visualization tool (e.g., Power BI, Tableau). Knowledge of fraud detection systems, financial crime typologies, and regulatory requirements. Strong analytical thinking, attention to detail, and problem-solving skills. Experience working with fraud case management systems or detection platforms (e.g., RSAOutseer, other relevant systems). * Understanding of banking products, payment ecosystems, and common scam vectors.