S
Starling Bank
Lead Analyst
Skills
SQL QueriesPythonRMachine LearningAIRisk Management
5 days ago
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Important information
Location:
London, UK
Work mode:
Onsite
Published on:
16 October 2026
What they need
Who you are
- Graduate-level education, preferably in a numerical degree, or equivalent work experience
- Proven hands-on experience in AI/ML model validation or direct AI model building, with a deep understanding of advanced algorithms and experience with traditional credit risk or forecasting models
- Expertise in analytical tools such as Python, R, SQL, SAS, and spreadsheets
- Ability to articulate analytical findings succinctly and clearly 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
- Good knowledge of regulatory and risk management guidelines, such as EBA guidelines, CRR, and PRA rules
- 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
What the job involves
- We are looking for a talented and passionate Lead Analyst - Model Validation to join our Model Risk Oversight Team
- AI is a strategic priority at Starling Bank, designed to bring tangible benefits to our customers and significantly improve operational efficiencies. As our use of AI scales across the bank, robust model risk management and strong oversight are essential
- The team focuses on validating and overseeing the risks associated with all models across Starling, with an increasing focus on scrutinising advanced AI and ML techniques
- If you have model validation / model build experience across a variety of 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!
- Leading the validation and technical review of Starling's rapidly expanding portfolio of AI/ML models to ensure safe deployment. You will also validate traditional models such as IFRS 9, Forecasting, and Operational Risk
- Producing validation reports whilst engaging with the model developers and model owners to ensure the validation findings are understood and can be addressed within the agreed timelines
- 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
The application process
- This role will close at 12pm on Thursday 29th October
Benefits
- Time off: 25 days holiday, plus your birthday as an extra freebie. You can also opt out of bank holidays and take them when works for you!
- Health insurance: Private health insurance with Vitality Health, one of the UK's leading private medical insurers
- Pension scheme
- Paid volunteering leave: We encourage all our employees to give back. You can take up to 16 hours paid leave a year, specifically to help causes meaningful to you
- Gym & cycle to work schemes: We offer discounted gym memberships and cycle to work schemes through salary sacrifice
- Perkbox: For a wide range of retail, entertainment and leisure discounts (as well as cash back) at a huge variety of businesses
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