Analytics Manager

Experience from 10 to 15 years

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.