Data Scientist - Fraud Detection & Financial Defense

About the opportunity

Develop real-time anomaly detection and graph neural network models preventing card fraud and identity theft.

What you will do

• check_circle Train gradient boosted trees and graph neural networks on streaming transaction streams.
• check_circle Engineer high-cardinality behavioral features reflecting customer spending baselines and geo-anomalies.
• check_circle Partner with fraud investigators and compliance teams to refine decision thresholds and minimize false positives.
• check_circle Deploy low-latency inference endpoints on cloud native infrastructure.

What we are looking for

• arrow_circle_right 3+ years industry experience in fraud modeling, anomaly detection, or cybersecurity analytics.
• arrow_circle_right Proficiency with Python, scikit-learn, XGBoost, LightGBM, and cloud data warehouses (Snowflake).
• arrow_circle_right Familiarity with streaming data technologies (Kafka, Flink) and graph databases.

Skills & Tech Stack