Model Validator

Model Oversight Team (Second line of defence) provides support to our colleagues in Borrowing, Fincrime & Fraud, Operations and Finance to help Monzo grow safely. We’re looking for someone to ensure the Fincrime/Fraud models we use are not only good for Monzo but are also best for our customers.

Key Responsibilities

• Perform independent model validations of FinCrime/Fraud models using proportionate modelling techniques depending on the level of complexity applied.
• Write clear and impactful model validation reports and present the findings in relevant committees.
• Review any FinCrime/Fraud model changes and provide recommendations to first line teams to ensure the models remain fit for purpose.
• Build relationships with first line of defence Fincrime/Fraud modelling teams and wider risk teams to support the embedding of the model risk framework, ensuring good maintenance of the model inventory and adherence to issue management processes.
• Support team lead in reviewing ongoing model performance monitoring to ensure the FinCrime/Fraud models are performing within risk thresholds and provide help to the model development team when further action is required.
• Support broader Model Oversight team with model validation activity in other disciplines (Financial, Operational, Credit) to manage peak demand and utilize specific knowledge areas.
• Research and learn latest modelling and validation techniques.
• Support the Model Risk Oversight Committee as a regular attendee and contribute to group discussions to improve model risk management.
• Promote and embed a strong risk culture, making risk meaningful for everyone at Monzo, sharing best‑practice that is easy to understand.

Desired Qualities

• Highly motivated and energised by bringing positive impact to customers and Monzo.
• Self‑motivated and thrive in fast‑paced environments.
• Attention to detail while keeping an eye on the big picture.
• Great communicator, able to articulate complex problems.
• Capable of providing effective challenge while building respectful relationships.
• Keen to grow knowledge in both business and technology.

Technical & Knowledge Requirements

• Experience developing and/or validating models in Financial Crime, Fraud, Credit, Interest Rate, Liquidity, Regulatory capital, Stress testing or Forecasting.

Interview Process

• In‑depth knowledge of statistical risk‑management techniques.
• Experience managing a modelling project through its full lifecycle.
• Strong technical skills such as SQL or Python.
• Working knowledge of machine learning models such as gradient boosted trees.
• Familiarity with customer risk assessment controls at current‑account application, transaction monitoring controls, financial crime and fraud typologies, and transaction‑driven business contexts.

Stages: recruiter call, initial call, final stage including take‑home task, role‑specific interview, and behavioural interview.

Benefits

• Salary: £59,500 – £70,000 (depending on experience) plus incentive awards tied to performance.
• Flexible working hours with trust to work enough hours to do the job well.
• £1,000 learning budget each year for books, courses, and conferences.
• Distributed working within the UK with some on‑site meetings in London.
• Full benefits package (health, pension, etc.).

Equal Opportunity Statement

We are an equal‑opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply; we do not need full or birth names at application stage.