Data Scientist - Risk Management
Core
Validating and transitioning machine learning and GenAI models for financial crime detection from rule-based systems to modern ML approaches.
Role type
Data Scientist (Model Validation & Risk)
Builds
Robust, compliant ML models for financial crime risk management
Domain
Banking / Financial Crime / Risk Management
Deliverable
production ML models
Required skills
Statistics, Mathematics, Machine Learning, Data preparation, Python, SQL, Spark, TensorFlow, PyTorch, Model validation, Software engineering
Preferred skills
GenAI, AWS SageMaker, AWS Bedrock, H2O.ai, Financial crime domain experience, Regulated environment experience
Responsibilities
Source and prepare large datasets for modelling, Apply statistical and ML techniques to assess model performance, Support validation of ML models for financial crime detection, Contribute to model deployment and lifecycle management, Apply software engineering practices to development workflows
Seniority
Mid-Senior, hands-on IC
