Data Science Manager
Core
Independent end-to-end validation of fraud detection ML models, including conceptual soundness, data integrity, feature engineering, model development, deployment design, and monitoring frameworks.
Role type
Senior IC machine-learning model validator (fraud)
Builds
Agentic AI tools to support model validation workflows; validation frameworks, testing standards, and model performance monitoring tools
Domain
Financial services / Fraud detection / Machine Learning
Deliverable
production ML models
Required skills
Machine learning methods (tree-based, anomaly detection, graph/network models), Python, SQL, PySpark/Spark, model validation principles, model risk governance frameworks, regulatory compliance, bias/fairness/explainability assessment, CI/CD pipeline assessment, cloud environment assessment
Preferred skills
BNPL/credit cards/payments experience, highly regulated environment validation experience, mentoring junior validators, AI governance frameworks knowledge
Technologies
scikit-learn, LightGBM, graph models, GenAI, Docker, Jenkins, AWS SageMaker, S3, Athena, Lambda, SQL, PySpark, Python-based validation libraries
