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.