Lead Model Validation

Description:

The model validation function is critical to my clients organisation, ensuring the accuracy, reliability, and governance of models across risk, operations, and analytics.

As a Model Validation Lead, you will provide technical expertise in validating advanced AI and ML models, mentor Analysts, and ensure adherence to governance standards. You will design and execute independent validations, develop challenger models, and collaborate with stakeholders. This role requires strong technical modelling skills and excellent collaboration to influence outcomes in a complex environment.

Key Responsibilities:

• Provide subject matter expertise and guidance on the validation of models, particularly machine learning models
• Ensure that robust model governance and risk management processes are in place

Lead independent validations across a range of models, including operational, risk, and analytics models Mentor and support Analysts professional development Design and implement challenger models using advanced ML methods Research new ML algorithms and methodologies to ensure that models follow best practice Ensure that models meet governance, regulatory, and internal standards Partner with development teams and stakeholders to provide challenges and assurance Contribute to the enhancement of model validation frameworks and best practices
Job Experience and Skills Required:
Education: Bachelors Degree in Maths/Stats or a related field Experience: 6+ years of proven experience in model development, with direct model validation or review experience preferred Strong technical expertise in tree-based methods, neural networks, clustering, anomaly detection, and other advanced ML/statistical techniques Experience with cloud platforms (AWS preferred) and emerging technologies, such as large language models, is a plus Ability to mentor and develop junior team members Excellent communication and stakeholder engagement skills Able to design and deliver end-to-end ML projects independently Experience with data mining, predictive modelling, and presenting findings to senior stakeholders
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