Job Description
This is your chance to join one of the world’s leading financial institutions, recognised for its long-standing reputation for excellence, innovation, and a commitment to building lasting relationships.
This role offers an exciting opportunity to contribute meaningfully to a dynamic organisation that values its people and fosters sustainable growth.
Our client is a globally renowned bank with over 350 years of history and a worldwide presence. Their services span commercial banking, securities, asset management, and more.
Working here means access to a vast network of opportunities, allowing you to develop professionally while contributing to a culture that values fairness and innovation.
The Role
My Client's Model Risk Management team are hiring at both AVP and VP level for this role.
The team plays a vital role in overseeing the governance and validation of models used across the organisation for risk measurement and decision-making.
In this role, you’ll conduct detailed assessments of models across all asset classes, ensuring they meet regulatory expectations and industry standards. From creating challenger models to identifying enhancements, your work will directly influence the organisation’s risk strategy and operations.
Key Responsibilities:
* Perform independent reviews and validations of quantitative models, both at their inception and periodically.
* Develop and implement challenger models to test and benchmark methodologies.
* Critically evaluate model frameworks, assumptions, datasets, and results, ensuring alignment with best practices.
* Test numerical implementations and review technical documentation for clarity and accuracy.
* Ensure models comply with governance requirements and regulatory standards.
* Produce detailed validation reports, highlighting recommendations for improvements.
* Monitor the progress of remediation efforts following validation reviews.
* Support the preparation of model risk updates for senior committees and the Board.
We’re seeking a professional with a strong background in quantitative analysis and model validation. Experience with designing challenger models, testing numerical implementations, and assessing compliance with regulatory frameworks is essential. A proactive and solutions-focused mindset will set you apart in this role.