Risk and Fraud Analyst

Risk & Fraud Analytics Analyst (Non-Modeling)Role SummaryThe role involves monitoring transactional and credit portfolios to identify fraud trends, delinquency risks, and exposure patterns. The analyst will support risk monitoring, investigation queues, portfolio tracking, and regulatory reporting using SQL and Python.Key ResponsibilitiesFraud AnalyticsMonitor transactional data to detect suspicious patterns and rule breachesIdentify high-risk transactions (velocity checks, geo-mismatch, abnormal spend patterns)Analyze fraud trends by product, channel, and geographySupport fraud investigation teams with structured data extractsTrack chargebacks and fraud loss metricsPrepare daily/weekly fraud MIS dashboardsCredit Risk AnalyticsMonitor portfolio performance (DPD buckets: 30/60/90+)Identify delinquent accounts and high-risk segmentsConduct vintage and cohort analysisTrack exposure at default (EAD) and portfolio concentrationSupport credit policy impact analysisPrepare regulatory and management reportsTechnical Skills RequiredSQL (Mandatory), Python, Excel (Advanced)Power BI / Tableau (Preferred)Experience2–6 years in Fraud Analytics / Credit Risk Analytics / Banking AnalyticsExperience working with large transactional or loan datasetsExposure to banking domain mandatory

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