Overview
As Lead Analyst – Model Validation, you will steer the validation and technical review of Starling’s growing AI/ML model portfolio to ensure safe deployment. You will also validate traditional models such as IFRS 9, forecasting, and operational risk. You’ll produce validation reports, present findings to committees and senior leadership, and collaborate closely with model developers and owners to strengthen model risk practices across the lifecycle. This role sits at the heart of Starling’s AI-enabled transformation and risk oversight, shaping responsible use of advanced analytics.
Pay / Benefits
- 25 days holiday
- birthday leave
- pension scheme
- life insurance 4x salary
- private medical insurance
- Cycle to Work and gym partnerships
Responsibilities
- Lead validation and technical review of AI/ML models for safe deployment
- Validate traditional models (IFRS 9, forecasting, operational risk)
- Produce validation reports and coordinate with developers/owners to address findings
- Prepare committee papers and present validation results to committees
- Present high-level findings to senior leadership
- Engage with stakeholders to enable strong model risk management across the lifecycle
Key requirements
- Graduate level education preferred; numerical degree or equivalent experience
- Hands-on AI/ML model validation or AI model-building experience
- Deep understanding of advanced algorithms to challenge model developers
- Experience with traditional credit risk or forecasting models
- Proficiency in Python/R/SQL/SAS and spreadsheets
- Ability to articulate findings clearly for diverse audiences
- Organised, flexible, adaptable with strong problem-solving and attention to detail
- Good knowledge of regulatory and risk management guidelines (bonus: EBA, CRR, PRA)
- excellent communication
- teamwork
- problem-solving
- AI/ML model validation
- AI model build experience
- traditional credit risk/forecasting models
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