Principal Data Scientist – Financial Crime Model Validation
Core
Lead the establishment of a new financial crime model validation capability, transitioning from rule-based alerting to modern machine learning and GenAI approaches in a highly regulated banking environment.
Role type
Principal Data Scientist (Model Validation)
Builds
Production-ready ML/GenAI models for financial crime detection and validation frameworks
Domain
Banking / Financial Crime / Regulatory Compliance
Deliverable
production ML models
Required skills
Machine learning, statistics, financial crime modeling, model risk management, Python, PySpark, AWS, stakeholder leadership, technical mentoring
Preferred skills
Experience in model development, agentic AI, complex project delivery, coaching others
Technologies
Python, PySpark, AWS
Responsibilities
Lead the financial crime model validation stream, validate ML models replacing legacy rules, provide technical leadership on model design and GenAI, support high-volume transaction data use cases, guide stakeholders on governance requirements, mentor team members on validation practices
Seniority
Principal, hands-on IC with strategic influence
