Model Validation Manager
Starling Bank is hiring a Model Validation Manager in London, Manchester and Cardiff, United Kingdom. Level rates it ; you can apply on Level.
AI in this role
Leads the validation and risk oversight of AI, machine learning, and traditional financial models within a digital bank.
Hello, we’re Starling. We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,500 people across our London, Southampton, Cardiff and Manchester offices.
We are looking for a talented and passionate Model Validation Manager to join our Model Risk Oversight Team. Our team plays a critical role in validating and overseeing the risks associated with all models across Starling, particularly those involving AI and other advanced modeling techniques. If you have a background in model validation or development across a variety of models (especially within the AI/ML domain but ideally also covering more traditional models), and are eager to be part of the team that plays a vital role in model risk management, we want to hear from you!
As a Model Validation Manager, you will be responsible for:
- Act as a senior escalation point for complex validation challenges, fostering a culture of technical excellence and navigating difficult conversations with model developers and senior leadership to ensure robust risk management practices.
- Supporting the validations of different types of models used across Starling, such as AI and ML models supporting our business operations, as well as more traditional models like IFRS 9, Forecasting, and Operational Risk.
- Playing a vital role in Model and AI risk governance framework development and enhancements.
- Producing and reviewing validation reports while engaging with the model developers and model owners to ensure the validation findings are understood and can be addressed within the agreed timelines.
- Leading on Risk Assurance reviews.
- Producing committee papers and presenting at committees.
- Presenting high-level validation findings to Senior leadership.
- Engaging and forming close relationships with the key stakeholders to enable good model risk management practices throughout the model lifecycle.
This role will close at 12pm on Thursday 29th October.
Requirements
- Graduate-level education is preferred, ideally in a numerical discipline (or equivalent work experience).
- Proven track record of building, mentoring, and managing high-performing technical teams of quantitative analysts. Ability to coach staff through complex AI and traditional model validations.
- Extensive experience overseeing a broad portfolio of model types. Must possess deep, hands-on expertise in validating advanced AI/ML algorithms alongside strong proficiency in traditional risk models (e.g., IFRS 9, Forecasting, Operational Risk).
- Expert in the use of analytical tools such as Python/R/SQL/SAS and spreadsheets.
- Good knowledge of model and AI risk management and governance industry best practice and regulations.
- Ability to articulate findings from analysis in a succinct and clear way that is suitable for the target audience.
- Organised, flexible and adaptable, with the ability to switch between tasks seamlessly.
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork abilities.
Benefits
- 25 days holiday (plus take your public holiday allowance whenever works best for you)
- An extra day’s holiday for your birthday
- Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off
- 16 hours paid volunteering time a year
- Salary sacrifice, company enhanced pension scheme
- Life insurance at 4x your salary
- Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
- Generous family-friendly policies
- Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
- Access to initiatives like Cycle to Work and Salary Sacrificed Gym partnerships
About Us
You may be put off applying for a role because you don't tick every box. Forget that! While we can’t accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren’t sure if you're 100% there yet, get in touch anyway.
We’re on a mission to radically reshape banking – and that starts with our brilliant team. Whatever came before, we’re proud to bring together people of all backgrounds and experiences who love working together to solve problems.
Starling Bank is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.
By submitting your application, you agree that Starling Bank may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
How we rate this
Model Validation Manager at Starling Bank rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where model validation was part of your work. What did you do?
- Tell me about a project where risk management was part of your work. What did you do?
- Tell me about a project where artificial intelligence was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where quantitative analysis was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Model Validation, Risk Management, Artificial Intelligence, Machine learning, and Quantitative Analysis. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.
Get new AI jobs (Works on AI ●●●○ or higher) by email
One email a week with the new AI jobs (Works on AI ●●●○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Other roles that work on AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step