Job Description

: Level M5-M6
Department Fraud Analytics
Location Mumbai
Role Requirements

• Conceptualize and implement early warning triggers & strategies from fraud perspective in both assets and liabilities
• Develop analytics to identify suspected frauds in both credit and non-credit areas
• Monitor effectiveness of triggers and rules set for fraud identification and suggest refinements/additional rules to improve efficacy and accuracy
• Design fraud monitoring framework through data analytics and collaboration with first line of defense
• Analyze historical data on EWS, RFA and credit frauds across industry to develop and implement EWS triggers
• Validate model performance metrics, process production data, and conduct deep-dive analytics to improve fraud detection accuracy.
• Leverage Python, PySpark, and ML frameworks to develop scalable solutions.
• Develop real-time analytics solutions to detect fraud transactions instantly.
• Utilize supervised (regression, classification) and unsupervised learning techniques to address business challenges.
• Lead collaboration between stakeholders - RCU, product, analytics, IT, BSG & business to design/implement solutions w.r.t. Fraud identification and monitoring
• Collaborate with FinTechs / external vendors for exploring on new ideas / innovations and implement the same
• Presentation to relevant committees and senior management

• Candidate should have minimum 5-6 years