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Fraud Analytics & Rules Management Analyst

Req ID:  7537
Job Description: 

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.

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