Senior Data Analyst (Anti-Fraud)

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.