Senior Data Modeler, Fraud Risk Detection
Core
Build fraud detection models and features to identify high-risk activity while minimizing friction for legitimate customers.
Role type
Senior IC data scientist (fraud risk detection)
Builds
Production-ready ML models and features for account opening, account takeover, and identity risk
Domain
Financial services / FinTech / Payments / Fraud detection
Deliverable
production ML models
Required skills
Supervised learning, model evaluation, feature selection, statistical inference, classification, anomaly detection, Python, pandas, NumPy, scikit-learn
Preferred skills
PySpark, cloud platforms (AWS, GCP, Azure, Databricks, Snowflake), financial services domain knowledge
Technologies
Python, pandas, NumPy, scikit-learn, PySpark, AWS, Google Cloud, Azure, Databricks, Snowflake
Responsibilities
Explore complex datasets to identify fraud patterns and behavioral signals; translate fraud questions into testable hypotheses; build and evaluate ML models; develop and validate features from identity, transactional, and behavioral data; write clean, well-tested code for production deployment; partner with monitoring teams for model governance; communicate findings to technical and non-technical audiences.
Seniority
Senior, hands-on IC
