Experience: 5-7 years

Key Responsibilities

- Analyse large transaction, banking, customer, vendor and financial datasets for fraud and AML indicators.
- Identify suspicious patterns, anomalies, mule accounts, unusual fund movements and related-party linkages.
- Perform fund-flow, money-trail and transaction chronology analysis.
- Analyse bank statements, invoices, vendor masters, payment records and approval trails.
- Use Python, SQL, Excel and Power Query for data cleaning, reconciliation and analytics.
- Develop dashboards, exception reports, relationship maps and investigation outputs.
- Support AML, fraud and forensic investigations with evidence-backed analytical findings.
- Identify data gaps, inconsistencies and areas requiring further investigation.
- Maintain explicit, source-referenced working papers and methodology.
- Use AI tools for investigation analytics and triage, with proper human validation.

Key Skills

- Forensic / AML / Fraud Analytics
- Transaction & Financial Crime Analysis
- Python, SQL, Excel, Power Query
- Fund Flow & Money Trail Analysis
- Anomaly / Pattern Detection
- BFSI / Banking Data
- AI-assisted Investigation Analytics

Preferred: CAMS, CFE, CFCS or relevant Data Analytics certification.

📌 Data Scientist Fraud & AML Analytics (Mumbai)
🏢 Hiring Squad
📍 Mumbai