Compliance Analytics & Insights Manager
Core
Build and validate Anti-Financial Crime (AFC) and Anti-Money Laundering (AML) models, manage data pipelines for model development, and conduct independent model validation to ensure regulatory compliance.
Role type
Senior Compliance Analytics & Insights Manager (Data Engineering & Model Validation)
Builds
Production-ready AFC/AML models, data pipelines, and validation reports for senior management
Domain
Banking / Financial Crime / Regulatory Compliance
Deliverable
production ML models | dashboards & analysis | client delivery
Required skills
Data engineering, distributed databases, dimensional data modelling, natural language processing, network link analysis, root cause analysis, regulatory standards knowledge, model validation, stakeholder communication
Preferred skills
Machine learning, data-lake experience, banking risk management, AML/AFC analytics
Technologies
Distributed databases, data-lake, robotic process automation
Responsibilities
Create and maintain data extraction, transformation, and loading pipelines for AFC models; Conduct independent validation of AFC/AML models and document findings; Liaise with data scientists to assess data suitability and support model development; Design and implement enhancements for internal data processes and infrastructure; Review model codes and data usage for accuracy and consistency with documented approaches; Prepare independent reports on model performance for senior management
Seniority
Senior, hands-on IC with mentorship responsibilities
