🔑You’ll play a key role by…
Driving the embedding of the Model Risk Framework for Generative AI use cases across Monzo
Lead the collaboration with the first line of defence teams to strengthen policies, standards and procedures for Generative AI model, use case, system design and build, implementation, governance, monitoring and use. Helping to embed best practice of Generative AI across the business.
Own the setting and maintenance of Generative AI validation methods, evidence expectations and reusable technical assets with relevant 1LoD modelling teams, applicable across all model risk areas.
Convert modelling/validation experience into controlled playbooks, tests and working examples that can be applied to 2LoD Validation standards and processes for all Generative AI models, use cases, systems overseen by the 2LoD Model Oversight team.
Coach Generative AI validation methodologies, to 2LoD Model Oversight colleagues, whom already have transferable Machine Learning skills, to reduce reliance on any single specialist for the validation of Generative AI models, use cases, systems so it can be consistently applied across Financial, Credit and Fincrime/Fraud models.
Leading the 2LoD Oversight of Operational Model Risk
Perform, and oversee, independent model validations of new Operational models (primarily Generative AI models, use cases, systems), and changes to existing, using proportionate modelling techniques depending on the level of complexity applied. This includes writing clear and impactful model validation reports and presenting the findings in relevant committees.
Build relationships with first line of defence modelling teams that develop Operational Models, and wider risk teams, to support the embedding of the model risk framework to help Monzo grow safely.
Review ongoing model performance monitoring to ensure Operational models are performing within risk thresholds and providing support to the relevant model development team when further action is required
Monitoring and measuring the overall level of Operational model risk that Monzo operates, and driving action plans with first line teams and appropriate governance forums to mitigate residual model risk within desired risk appetite.
Being a senior advocate of Model Risk Management best practices
Support the effective operation of the Model Risk Oversight Committee as a regular attendee, contributing to the group discussion to improve model risk management.
Promote and help embed a strong risk culture, making risk meaningful and relevant to everyone at Monzo. You will share best practice that is easy for everyone to understand.
🤩We’d love to hear from you if…
You are highly motivated and energised by the idea of bringing positive impact to our customers and Monzo
You are self-motivated and thrive in a fast-paced environment
You have great attention to detail while keeping an eye on the big picture
You are a great communicator, able to articulate complex problems
You can provide effective challenge whilst building strong, respectful relationships
You are keen to grow your knowledge in both business and technology
And, from a technical and knowledge perspective, you should have
Robust Data Science or Machine Learning background with strong Python capability
Experience with design of Generative AI evaluation frameworks, architectures, methods, practical tooling and platform alignment.
Knowledge of Gemini implementations and change assessment
Experience of managing a modelling project through its full lifecycle
If possible, some understanding of some of the following
Coaching and standard setting
Banking MRM and regulatory context
🙌What’s in it for you
💰£85,000 – £105,000 ➕ Incentive Awards tied to your performance
📍This role can be based in our London or Cardiff offices, or be distributed working within the UK (with ad hoc meetings in London)
⏰We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team.
📚£1,000 learning budget each year to use on books, training courses and conferences.
➕ Plus lots more! Read our full list of benefits.
🌈 The application journey has 4 key steps
- Phone call with recruiter – 30 mins
- Initial call with hiring manager – 30 mins
- Assessment & technical interview – 60 mins
- Leadership & Behavioural Interview – 60 mins
This process should take around 4-8 weeks – your schedule is really important to us, so we promise to be as flexible as possible!
We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here.
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Equal opportunities for everyone
Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report.
We’re 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, or veteran, neurodiversity or disability status.
If you have a preferred name, please use it to apply. We don’t need full or birth names at application stage 😊
