Model Validation Specialist

Virgin Money UK PLC; United Kingdom; Remote; GBP 50,000 - 70,000; Full time

Job summary

Virgin Money UK PLC is seeking a Model Validation Specialist to join their Independent Model Validation team. This role involves validating traditional and machine learning models, providing expertise in AI, and ensuring robust model development. Candidates should have a higher qualification in mathematics or computer science and proven experience in machine learning techniques. The position offers generous benefits including 38.5 days of annual leave and flexible working options.

Benefits

38.5 days annual leave

Up to five extra paid well-being days

20 weeks paid family leave

Free private medical cover

Flexible benefits

Qualifications

• Proven experience in machine learning and AI modelling techniques.
• Demonstrable experience with model development or validation in Fraud, Financial Crime.
• Superb data presentation and report writing skills.

Responsibilities

• Supporting the validation of traditional and machine learning models.
• Engaging with model owners and challenging model performance.
• Generating model validation reports and ensuring actions are resolved.

Skills

Machine Learning

Artificial Intelligence

Data Presentation

Critical Thinking

Education

Higher qualification in mathematical or computer science field (MSc and above)

Tools

Python

SAS

Job description

Join to apply for the Model Validation Specialist role at Virgin Money

Join to apply for the Model Validation Specialist role at Virgin Money

Business Unit: Group Risk, Independent Model Validation

We have an exciting opportunity in our Independent Model Validation team. The validation team holds a key role in the validation, challenge, and oversight of VMUK’s overall model landscape, including credit risk, financial and operational models.

You’ll have the opportunity to work across a broad range of models spanning retail and business asset classes and drive insight and improvements in model outputs and controls.

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 in Artificial Intelligence, where we work with stakeholders across the bank to ensure robust model development activities.

What you’ll be doing

• Supporting the validation of traditional and machine learning 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.
• Engaging with model owners, gathering materials for analysis, challenging model performance or development and documenting findings
• Utilising your technical skills in data manipulation and extraction, assessing and comparing data from a variety of sources
• Generating model validation reports and ensure that validation actions are followed through to a resolution
• Supporting the continuous learning and development of a best practice modelling culture within the bank.

We need you to have

• A higher qualification in mathematical or computer science field (MSc and above) or equivalent technical experience
• Proven experience in machine learning and artificial intelligence modelling techniques, including Generative AI.
• Demonstrable experience with model development and/or model validation in some of the following areas: Fraud, Financial Crime.
• Advanced knowledge of Python programming language.
• Substantial knowledge of data science and data mining methodologies.
• Superb data presentation and report writing skills, ideally for a Model Risk Committee or equivalent
• The ability to work to a high degree of accuracy, ensuring you always get the basics right
• Sound decision making and critical thinking.

It’s a bonus if you have but not essential

• Good knowledge of SAS programming language
• Familiarity with Machine Learning Engineering.
• Generous holidays - 38.5 days annual leave (including bank holidays and prorated if part-time) plus the option to buy more.
• Up to five extra paid well-being days per year.
• 20 weeks paid, gender-neutral family leave (52 weeks in total) for expectant parents and those looking to adopt.
• Free private medical cover, income protection and life assurance.
• Flexible benefits include Cycle to Work, wellness and health assessments, and critical illness.

And there's no waiting around, you'll enjoy these benefits from day one.

Feeling insatiably curious about this role? If we’re lucky to receive a lot of interest, we may close the advert early and would hate you to miss out.

We're all about helping you Live a Life More Virgin, so happy to talk flexible working with you.

Applications Close: 26 May 2025 (4.00pm BST)

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Quality Assurance, Analyst, and Research

• Industries

  Financial Services and Banking

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