Senior Data Analyst (Anti-Fraud)

Maya


Date: 11 hours ago
City: Mandaluyong City
Contract type: Full time

Overview:


Conducts all data processing including data preparation, data analysis, visualization and prepare data driven proposal on fraud strategy for all products, processes and systems utilized by the Anti-fraud team. Collaborate with the Anti-fraud team, Product, Tech, Compliance, etc. to recommend, review, update and adjust fraud controls setup to achieve frictionless experience for clients while addressing potential fraud risks. Establish a robust fraud data analytics ensuring effective fraud detection, monitoring, and investigation processes. Generate periodic reports on fraud risk and trends.



Fraud Review and Analytics


  • Conducts overall fraud analytics related to all products within OneMaya and collaborate with the Anti-fraud team to address potential risks that are not covered.
  • Ensure robust and continuous fraud monitoring with appropriate triggers
  • Generate daily management level reporting to report fraud risk related to entire portfolio - Review Standard fraud controls for all wallet and banking products and work with stakeholders (and Fraud compliance) to ensure compliance.
  • Design and implement robust fraud prevention and detection measures, leveraging data analytics and advanced technologies to identify and mitigate risks proactively.
  • Analyzes data and generate insights on trends, fraud patterns, and operational performance, providing regular reports and updates to senior management.
  • Utilizes performance data to drive continuous improvement initiatives, optimizing processes and decision making frameworks to achieve operational excellence



Business Intelligence and Reporting


  • Aid in automating manual tasks being done by any unit in Antifraud for faster turnaround time on investigation
  • Work together with necessary teams on possibility of establishing predictors that can be consumed different use case (like underwriting, collections, operations, etc.)
  • Working closely with the DS team for fraud model development, validation, review and fine-tuning



Investigation Support & Forensics


  • Identifying fraud patterns, understanding modus operandi, and conducting impact assessments
  • Develop a strategy and actionable items to reduce fraud numbers, including creating or refining alerts and models, proposing a new SOP, and escalating findings to relevant stakeholders
  • Helped FCI in enhancing process through data access for faster investigation turnaround
  • Help Anti-Fraud and AML teams in finding answers through data: Provide data support for investigations to understand the modus operandi and profile fraudulent actors.
  • Conduct deep-dive data investigations for major cases: Perform impact analysis, root cause analysis, and post-mortem reviews to strengthen fraud controls.



What we are looking for:


  • Minimum 3 years’ experience in the field of Lending fraud assessment, Identity fraud prevention & Fraud Data Analytics.
  • Experience in SQL coding and utilization of visualization tools.
  • Digital Banking & Lending experience will be preferred.

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