Mufgub

Vice President, Model Validation

In short

MUFG's EMEA Model Risk Management team in London is hiring a Vice President to independently validate quantitative models, with a particular focus on PFE & XVA models across asset classes. The role involves designing challenger models, reviewing frameworks and assumptions, testing numerical implementations, and reporting to Model Oversight Committees and the Board. It requires experience in quantitative modelling or validation within counterparty credit risk or derivatives pricing, xVA model expertise, a postgraduate degree in a quantitative discipline, and strong Python or R programming skills.

About the Role
MUFG, one of the world's leading financial groups, is seeking a Model Validation Vice President to join their EMEA Model Risk Management team in London. This is an opportunity to contribute expertise in quantitative modelling and model validation within a globally renowned organisation. You will be empowered to stretch your skills across diverse asset classes and models, with a particular focus on PFE & XVA types. You will work closely with risk analytics professionals and front office quants, ensuring robust model governance and compliance with regulatory standards.
•Join MUFG's EMEA Model Risk Management team in London, contributing to independent model validation across all asset classes with a focus on PFE & XVA models.
•Work within a global network that prioritises integrity, responsibility, and transparent culture, offering opportunities for professional growth and development.
•Collaborate with risk analytics experts and front office quants, ensuring models are validated in line with industry best practice and regulatory requirements.
What You'll Do
As Model Validation Vice President at MUFG in London, you will play a pivotal role in safeguarding the integrity of the group's risk management framework through rigorous independent validation of quantitative models.
•Conduct initial and periodic validation of quantitative models used across various asset classes, ensuring adherence to regulatory requirements and industry best practices.
•Design, model, and prototype challenger models independently to provide alternative perspectives on existing methodologies.
•Perform comprehensive quantitative analysis and review of model frameworks, assumptions, input data, and results to ensure accuracy and reliability.
•Test numerical implementations of models thoroughly while reviewing associated documentation for completeness and clarity.
•Check compliance with governance requirements by evaluating processes against established standards and policies.
•Document findings meticulously in validation reports, including raising recommendations for improvements to enhance model performance or mitigate risks.
•Ensure timely tracking of remediation actions following validation recommendations to maintain high standards of model quality.
•Prepare detailed model risk reporting for presentation to Model Oversight Committees and the Board, supporting effective decision-making.
•Collaborate closely with Risk Analytics teams and Front Office quants to facilitate knowledge sharing and support ongoing model enhancements.
•Stay informed about the latest technical developments in financial mathematics, pricing methodologies, and risk modelling techniques.
What You Bring
•Experience in quantitative modelling (development or validation) within counterparty credit risk or derivatives pricing models.
•Experience specifically developing or validating xVA models within a financial institution or similar environment.
•A postgraduate degree in a quantitative discipline such as statistics, mathematics, mathematical finance or econometrics.
•Strong background in mathematics and probability theory applied to finance contexts.
•Proficient programming skills in Python or R (or equivalent), enabling effective implementation of complex models.
•Solid understanding of simulation techniques and numerical methods relevant to financial modelling.
•Good knowledge of data science principles and statistical inference techniques applicable to risk assessment.
•Awareness of current technical developments in financial mathematics, pricing strategies, and risk modelling approaches.
•Excellent written and oral communication skills for clear explanation of technical matters to both specialist and non-specialist audiences.
•Meticulous attention to detail combined with a structured approach to problem-solving.
About MUFG
MUFG is one of the world's leading financial groups, headquartered in Tokyo but operating globally—including more than 2,300 offices across 50 countries. The group is committed to building long-term relationships founded on trust. Employees benefit from exposure to diverse business lines such as commercial banking, securities, asset management, consumer finance, leasing services, and more. The London office is located at Ropemaker Place within the EMEA Model Risk Management division.
The company is open to considering flexible working requests in line with organisational requirements.

Stop applying.
Get referred.

$10 in free credits

In just 60 seconds, fully on autopilot — Eraldt's AI agents read your CV, map the roles you fit, find live vacancies and the people who can refer you, write personal emails, and get you referred.

This isn't an application: your CV doesn't go to the company, and we don't promise a referral for this exact role.

Discover who else lands interviews on autopilot