Risk AI DS

The Risk AI DS team builds risk-detection models on large-scale user behavior, fund-flow, and market data. This role involves owning real-world projects end-to-end, processing billions of records using PySpark, Hive, and Trino, and developing robust SQL pipelines for feature engineering. The position requires building, evaluating, and iterating on machine learning models to translate performance into meaningful business metrics.