Validation Manager - Machine Learning (AI) at Virgin Money
Manchester M4 6EF, , United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

25 Aug, 25

Salary

70000.0

Posted On

26 May, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Financial Services

Description

Business Unit: Group Risk, Model Risk Management
Salary range: up to circa £70,000 per annum DOE + red-hot benefits
Location: Remote – UK Flexible
Contract type: Permanent

OUR TEAM

Ensuring we have robust Model Risk Management frameworks in place is essential for us to manage risk arising from using models for our decision making while complying with complex regulations and increasing regulatory expectations. With the advent of new technologies such as Machine Learning and Generative AI we see a huge drive in the financial modelling space that must be managed appropriately. This is where our team comes in! We provide and evidence oversight in the form of independent validations and reviews, where we work with stakeholders across the bank to ensure robust model development activities.
As our team is expanding, we are looking for a Manager within Independent Model Validation. As part of the team, you’ll help to secure the foundations of our business decisions by providing quantitative and qualitative validations across our model landscape. Your work will not only provide senior management with the confidence in knowing the risks involved in using Machine Learning and Generative AI models but can also shape the future direction of how validations are undertaken in novel areas. Ultimately, you will be contributing to making our customers happier about money!

Responsibilities
  • Supporting a team of specialist model validators covering an array of model types and performing highly analytical validations.
  • End-to-end managing of Machine Learning validations of new and revised models to ensure models across the business are fit for purpose.
  • Providing Artificial Intelligence and mathematical expertise to inform the discussion between Model Development and Model Risk Management in the model build and model review process.
  • Utilising your technical skills in data manipulation and extraction
  • Generating model validation reports and ensure that validation actions are followed through to a resolution.
  • Presenting model validation findings to technical forums and through governance committees. Tailoring the material presented to the audience when required to ensure appropriate understanding and appreciation of issues.
  • Applying the adoption of best practice approaches to model validation, including influencing frameworks to continually enhance the validation process.
  • Providing expert-level input and challenge into model and strategy developments and changes throughout the model lifecycle.
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