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Join us as a Model Validation AVP, where you will play a key role in independently reviewing and challenging models across financial crime, transaction monitoring, and market surveillance domains. You will assess model design, performance, data quality, and governance to ensure alignment with internal policies and regulatory expectations. This role sits within Model Risk Management, supporting the integrity and effectiveness of models used across the business. You will collaborate closely with stakeholders to deliver high-quality validation insights and drive continuous improvement in model risk practices.
Job Responsibility
Independently reviewing and challenging models across financial crime, transaction monitoring, and market surveillance domains
Assessing model design, performance, data quality, and governance to ensure alignment with internal policies and regulatory expectations
Collaborating closely with stakeholders to deliver high-quality validation insights and drive continuous improvement in model risk practices
Requirements
Experience in model validation, model development, or model risk management
Understanding of quantitative techniques and statistical models
Knowledge of financial crime, AML, transaction monitoring, or surveillance models
Experience with machine learning methods and analytical tools
Nice to have
Ability to perform data analysis, benchmarking, and model performance assessment
Understanding of model governance frameworks and regulatory requirements
Stakeholder management and ability to challenge effectively