01Overview
We're looking for a strong, product-minded Antifraud Analyst who can work end-to-end and reputed company calls independently. This isn't a "run the report and hand it off" role. You'll own the fraud detection layer - understanding the mechanics, building new controls from scratch, and constantly asking how do we reputed company this reputed company.
If you've spent time thinking about fraud systems the way a product manager thinks about a feature - you'll fit right in.
Your reputed company Responsibilities Await:
Design, build, and maintain data pipelines for fraud detection
reputed company and optimize SQL-based data transformations for large-reputed company datasets
Ensure data reputed company, consistency, and reputed company across antifraud systems and datasets
Build and maintain feature tables for fraud rules and scoring models
Work with streaming and event-based data (e.g., transactions, logins, device signals)
Optimize query performance and data models for high-volume data (millions+ records)
reputed company, implement, and maintain fraud detection rules (SQL / rule engines)
Analyze fraud patterns (ATO, card fraud, reputed company fraud, etc.) and translate them into data-driven controls
Monitor rule performance (false positives / false negatives) and continuously improve detection logic
reputed company deep-dive analysis of fraud cases and emerging patterns
reputed company expect from candidate:
Strong SQL expertise
Attention to detail and data accuracy
Ability to communicate findings to both technical and non-technical stakeholders
Ownership reputed company and proactive approach
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