On behalf of their client, a globally recognised financial group, they are seeking a committed and knowledgeable Assistant Vice President, Model Risk Quantitative Analyst.

This role provides the chance to enhance your skills, utilise advanced technologies, and take charge of your career.

What you'll do:

As an Assistant Vice President, Model Risk Quantitative Analyst, you will play a crucial role in the independent model validation of derivative pricing methodologies across all asset classes and model types. You will be responsible for designing, modelling and prototyping challenger models as well as conducting quantitative analysis of model frameworks. Your excellent attention to detail will be essential in testing models' numerical implementations and reviewing documentations. You will also ensure adherence to governance requirements while documenting findings in validation reports.

• Perform initial and periodic validation of pricing models
• Design, model and prototype challenger models
• Conduct quantitative analysis and review of model frameworks, assumptions, data, and results
• Test models numerical implementations and review documentations
• Check adherence to governance requirements
• Document findings in validation reports, including raising recommendations for model improvements
• Ensure models are validated in line with regulatory requirements and industry best practice
• Track remediation of validation recommendations

What you bring:

The ideal candidate for the Assistant Vice President, Model Risk Quantitative Analyst position brings a strong background in quantitative modelling with a focus on pricing models. Your understanding of financial products combined with your proficiency in Python or R will be key to your success in this role. Your knowledge of simulation and numerical methods along with your awareness of the latest technical developments in financial mathematics will enable you to contribute effectively to our client's objectives.

• Strong background in Math and Probability theory applied to finance
• Good knowledge of Data Science and Statistical inference techniques
• Understanding of financial products
• Proficiency in Python or R or equivalent programming languages
• Knowledge of simulation and numerical methods
• Awareness of latest technical developments in financial mathematics, pricing, and risk modelling

Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates