#LI-DA1
Key Responsibilities
- Strategy & Roadmap: Develop, maintain, and drive the execution of the Group-wide fraud analytics strategy, aligning with GFRM objectives and overall business strategy.
- Threat Intelligence: Establish processes for collecting, analyzing, and disseminating relevant internal and external fraud threat intelligence.
- Advanced Analytics: Utilize statistical modeling, machine learning, and other advanced data analytics techniques to analyze large, complex datasets, identifying sophisticated fraud patterns, emerging typologies, network links, and anomalies.
- KRI Monitoring: Design, implement, monitor, and report on Key Risk Indicators (KRIs) related to fraud risk.
- Insight Generation & Reporting: Produce insightful analytical reports, dashboards, and presentations summarizing findings, trends, and recommendations for NFRM/ GFRM leadership, governance committees, and oversight functions.
- Collaboration & Advisory: Collaborate with 1LOD, Data Science, IT; provide 2LOD perspective on fraud detection effectiveness.
- Innovation & Best Practices: Stay current with the latest trends, tools, and techniques in fraud analytics, data science, AI/ML, RegTech, and FinTech; evaluate and recommend potential applications.
- Data Governance: Ensure all analytical activities comply with the Group's data governance policies and data privacy regulations.
- Other ad-hoc deliverables as assigned by Management and/or Head of GFRM.
Job Requirements
- Minimum 5-8 years in data analytics (preferably financial services); specific experience in fraud/risk/forensic analytics highly desirable; proven ability to execute complex analytical projects; experience with large datasets; familiarity with fraud detection systems is a plus; project/team leadership experience preferred.
- Technical Proficiency: Advanced SQL, Python/R; data visualization tools (Tableau/Power BI); statistical modeling/ML techniques; understanding of databases/data warehousing; Big Data tech knowledge is a plus.
- Analytical & Problem-Solving: Exceptional analytical, quantitative, logical thinking; meticulous attention to detail; ability to translate complex data into business insights.
- Fraud & Business Acumen: Strong understanding of banking products/processes; good knowledge of fraud typologies; ability to connect analysis to business impact.
- Communication & Interpersonal: Excellent written/verbal English; ability to explain complex concepts to diverse audiences; strong presentation skills; effective collaboration and stakeholder management.
- Work Ethic & Approach: Proactive, intellectually curious, self-motivated; ability to work independently; adaptable in a dynamic environment.