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Overview
We are looking for an Anti-Fraud Analyst to develop and implement ML models for fraud detection, analyze traffic, and validate models. Strong Python and ML skills are required. Golden Apple is seeking an Anti-Fraud Analyst to enhance our fraud detection capabilities using machine learning techniques.
What you'll do
- β’ML modeling for anti-fraud: Development, training, and implementation of ML models for fraud detection in transactional and session traffic.
- β’Scoring systems: Design and support of ML scoring systems.
- β’Feature Engineering: Extracting and constructing features from raw logs.
- β’Traffic analysis and anomaly detection: Analyzing session and transactional traffic to identify fraud patterns.
- β’Model validation and testing: Testing and offline validation of anti-fraud models.
- β’Rule management and hybrid systems: Integration of ML models with rule-based engines.
- β’Mitigation of automated threats: Using ML to identify bot activity and multi-accounting.
- β’Monitoring and incidents: Developing ML metrics and dashboards for online monitoring.
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