Fraud Data Scientist

Job Summary

A company is looking for a Fraud Data Scientist, AIML Modeling & GenAI.

Key Responsibilities

• Build predictive models for card fraud, money-movement scams, and account takeovers using various machine learning techniques
• Design and implement GenAI solutions for alert summarization and adaptive rule suggestions
• Define the end-to-end model lifecycle, ensuring integration with production systems and compliance with regulatory standards

Required Qualifications

• Master's or Ph.D. in Data Science, Machine Learning, Statistics, or a related field
• 3+ years of experience in applying AI/ML to fraud prevention or risk analytics
• Proficiency in Python, SQL, and machine learning frameworks
• Experience building production-ready MLOps pipelines for real-time inference
• Knowledge of payment card networks and streaming data architectures