Responsibilities for the job
- Analyze end-to-end lending lifecycle data (application, onboarding, bureau, repayment, device) to identify fraud patterns and high-risk segments
- Track key fraud indicators such as First Payment Default (FPD), Early Payment Default (EPD), and abnormal delinquency trends
- Perform deep-dive analyses and root-cause investigations on fraud spikes, portfolio deterioration, and channel-level risks
- Support development, testing, and optimization of fraud rules, score cut-offs, and risk triggers to balance fraud capture and customer experience
- Build and maintain analytical datasets (feature marts) by combining internal and external data sources for fraud detection and monitoring
- Collaborate with Fraud Control Unit (FCU), Risk, Credit, and Business teams to provide data-backed insights and investigation inputs
- Develop and maintain fraud monitoring reports and dashboards using tools such as SQL, Python, and Power BI
- Assist in exploring new data sources (bureau, alternate data, device, telecom, etc.)



and contribute to their evaluation for fraud use cases
- Support development of machine learning models and analytical frameworks for anomaly detection, behavioural segmentation, and fraud risk prediction
- Leverage basic Generative AI tools (LLMs, prompt-based workflows) for exploratory analysis, summarisation of fraud cases, and signal identification
- Participate in POCs and pilot programs to evaluate current fraud detection techniques, models, and data capabilities
- Translate identified fraud patterns (e.g., synthetic identities, mule accounts, sourcing fraud) into actionable analytical features and rules
- Present insights, findings, and recommendations to stakeholders in a clear and structured manner.

Eligibility Criteria for the Job

Education

Bachelors degree in Engineering, Statistics, Mathematics, Economics, Computer Science, or related quantitative field
(MBA / PGDM / Masters in Analytics, Data Science, or AI is a plus)

Work Exp

📌 Sr. Associate FCU (Gurugram)
🏢 Hero FinCorp
📍 Gurugram