Senior Data Scientist – Risk Management (Financial Crime Model Validation)
Core
Validating financial crime models as the bank transitions from rule-based alerting to modern machine learning and GenAI approaches.
Role type
Senior Data Scientist (Model Validation)
Builds
Validated financial crime models for detecting risky transactions
Domain
Banking / Financial Crime / Machine Learning
Deliverable
production ML models
Required skills
Data Science, Machine Learning, Statistical Modelling, Python, AWS, Financial Crime domain knowledge, Model Validation expertise
Preferred skills
Experience in data-science-led technical environments
Technologies
Python, AWS
Responsibilities
Validate financial crime models, Assess models designed to detect patterns and identify potentially risky transactions, Deep dive into previous projects and technical decisions, Partner with stakeholders in a regulatory-heavy domain
Seniority
Senior, hands-on IC
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