Lead Data Analyst (Fraud Analytics)

Overview:

The Fraud Analytics Senior Lead will spearhead the efforts in preventing and detecting fraudulent activities across multiple platforms. Role is expected to 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. He / She will manage a team of fraud analytics, work closely with cross-functional teams (Products, Tech, RCO, Legal, Operations and other units as per need basis), and leverage data to build predictive/detective models and optimize fraud strategies across all products and processes.

What you will do:

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.

Team Management

• Offer support and guidance to team members by addressing challenges, providing feedback, and facilitating professional development opportunities.
• Identify skills gaps within the team and provide training opportunities or resources to develop their professional skills.
• Address and mediate any conflicts that may arise within the team, ensuring that the work environment remains collaborative and respectful.

What we are looking for:

• Minimum 7 years’ experience in the field of Lending fraud assessment, Identity fraud prevention & Fraud Data Analytics.
• Proven experience in building and deploying fraud detection models using machine learning, statistical analysis, and big data technologies (e.g., Python, R, SQL, Spark, Hadoop).
• Experience in SQL coding and utilization of visualization tools is required.
• Digital Banking & Lending experience on fraud analytics is required.
• Experience on managing a team of fraud analytics is required.