Required Qualifications:
5+ years of hands-on experience in fraud, abuse, risk, trust & safety, financial crime, or a closely related investigation function.
Solid experience handling complex investigations, escalations, or cases requiring significant analyst judgment.
Demonstrated ability to investigate cases using multiple behavioral, transactional, account, or system signals.
Advanced SQL proficiency, including complex queries, joins, window functions, and independent analysis of large datasets.
Solid analytical reasoning and ability to distinguish meaningful signals from noise.
Experience identifying fraud patterns, control gaps, detection gaps, false positives, and false negatives.
Ability to clearly articulate why a case should be classified in a particular way and identify the evidence supporting the decision.
Robust written communication and case-documentation skills.
Ability to operate independently with limited step-by-step guidance.

📌 Fraud Data Analytics Sme Hyderabad
🏢 Innodata India
📍 Hyderabad