Fraud & Credit Strategy Role

Fraud Strategy & Analytics: - Develop and implement fraud detection and fraud prevention strategies for Credit Card and Debit Card portfolios. - Analyze fraud patterns, transaction behaviors, and emerging fraud trends to minimize financial and operational risk. - Design, optimize, and maintain fraud rules and monitoring frameworks. - Conduct deep-dive investigations and root cause analysis for fraud incidents. - Monitor fraud performance metrics and recommend strategic improvements. - Collaborate with Risk, Operations, Product, and Analytics teams to strengthen fraud controls. - Support real-time fraud monitoring and decisioning processes. Credit Strategy & Risk Management: - Develop and manage credit risk strategies across acquisition, underwriting, line management, and portfolio optimization. - Perform portfolio analysis and identify opportunities to improve portfolio quality and profitability. - Build data-driven strategies for customer segmentation, risk assessment, and policy optimization. - Analyze portfolio trends and recommend risk mitigation strategies. - Work closely with business stakeholders to balance portfolio growth with effective risk management. - Support strategy implementation and ongoing performance monitoring. Data Analytics & Reporting: - Perform large-scale data analysis using SQL and analytical tools. - Generate actionable insights and dashboards for business decision-making. - Automate reporting processes and improve analytical efficiency wherever possible. - Ensure data accuracy, consistency, and quality across reporting frameworks. Required Skills & Qualifications: - 7-12 years of experience in Fraud Strategy, Credit Strategy, Risk Analytics, or Banking Analytics. - Strong experience in Credit Card and/or Debit Card domain. - Mandatory exposure to the US Market. - Hands-on proficiency in SQL is mandatory. - Working knowledge of Python is preferred. - Strong analytical, problem-solving, and decision-making skills. - Experience in Fraud Analytics, Fraud Rules, Fraud Prevention, and Credit Risk Strategy. - Ability to work with large datasets and derive meaningful business insights. - Excellent communication and stakeholder management skills. Preferred Keywords: - Fraud Strategy, Fraud Analytics, Fraud Prevention, Fraud Rules, Fraud Patterns, Credit Risk Strategy, Credit Analytics, SQL, Python, Banking Analytics, Credit Card, Debit Card, US Market Exposure .