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Desired Qualifications: - Master's degree in Statistics, Mathematics, Economics, Engineering, Finance, Business Administration or a related quantitative discipline. - Strong years of experience in Fraud Risk Management, Fraud Analytics, Fraud Strategy, or Financial Crimes. - Proven experience developing and implementing fraud detection strategies within consumer lending, credit card, personal loans, or other unsecured lending portfolios. - Strong knowledge of First-Party Fraud and Third-Party Fraud typologies and mitigation techniques. - Experience working with fraud decisioning and risk assessment platforms (FICO, SSE). - Advanced analytical and problem-solving capabilities with ability to translate insights into actionable business strategies. - Strong stakeholder management and influence skills across multiple organizational levels. - Excellent written and verbal communication skills, including executive presentation experience. Job Expectations: Fraud Strategy Development & Ownership: - Lead the design, implementation, and governance of pre-booking fraud strategies across unsecured lending products. - Own the end-to-end fraud decisioning framework for application fraud risk assessment. - Develop and maintain fraud detection controls, rules, and decision strategies that effectively identify and prevent fraudulent applications. - Drive strategic enhancements to address both First-Party Fraud (Synthetic Identity, Bust-Out, Credit Washing, etc.) and Third-Party Fraud threats. - Ensure fraud strategies align with enterprise risk appetite, regulatory expectations, and business objectives. Fraud Analytics & Insights: - Perform advanced analytics to identify fraud patterns, emerging threats, vulnerabilities, and portfolio trends. - Leverage internal and external data sources to improve fraud detection capabilities and customer risk segmentation. - Conduct performance monitoring and root cause analysis to assess strategy effectiveness and identify optimization opportunities. - Quantify fraud risk, operational impacts, customer experience implications, and financial outcomes of strategy changes. - Utilize statistical, machine learning, and rule-based methodologies to improve fraud identification and prevention. Decisioning Platform & Technology Enablement: - Leverage expertise in fraud assessment and decisioning platforms (FICO, SSE) to configure, deploy, and optimize fraud strategies. - Partner with technology teams to implement new fraud capabilities, data integrations, and decisioning enhancements. - Translate analytical insights into operationally executable fraud controls within production environments. - Support platform modernization and strategic initiatives related to fraud prevention infrastructure. Strategy Optimization & Governance: - Establish monitoring frameworks, performance metrics, reporting, and governance routines to evaluate strategy effectiveness. - Manage ongoing rule tuning, threshold optimization, and strategy recalibration based on portfolio performance. - Ensure strategies maintain an appropriate balance between fraud losses, customer experience, operational efficiency, and business growth. - Support risk governance reviews, audits, controls testing, and model risk management requirements where applicable. Cross-Functional Leadership: - Partner with Credit Risk, Product, Fraud Operations, Compliance, Technology, Data Science, and Model Development teams to deliver integrated fraud solutions. - Influence strategic direction through data-driven recommendations and executive-level presentations. - Act as a subject matter expert for pre-booking fraud risk and application fraud trends.

Bangalore

Analytics Manager - Banking/Financial Services 

Job Description for Analytics Manager - Banking/Financial Services  in Teamlease Digital in  Bangalore for (9-13) years of experience. Apply Now!

Analytics Manager - Banking/Financial Services  | iimjobs.com