Senior AI/ML Model Validation Lead

Starling; Manchester; Sur place; GBP 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

25 days holiday

Birthday leave

Pension scheme

Life insurance 4x salary

Private medical insurance

Perkbox membership

Cycle to Work

Gym partnerships

Résumé du poste

Starling Bank in Manchester seeks a Model Validation Manager to lead validation of AI/ML and traditional models across the business. You will mentor quantitative analysts, own validation reports, and work within the risk governance framework to ensure robust risk management.

You will present findings to senior leadership and committees, engaging with model developers and owners to drive timely remediation. This is a pivotal role in our model risk oversight.

Qualifications

• Graduate-level education in a numerical discipline or equivalent work experience.
• Proven track record building and mentoring high-performing quantitative teams.
• Extensive experience validating a broad portfolio of model types, including AI/ML and traditional models (IFRS 9, forecasting, operational risk).
• Expertise with analytical tools Python/R/SQL/SAS and spreadsheets.
• Strong understanding of model risk management and governance best practices.

Responsabilités

• Act as a senior escalation point for complex validation challenges and interact with developers and leadership.
• Validate AI/ML models and traditional models across Starling’s operations.
• Contribute to model risk governance framework development and enhancements.
• Produce and review validation reports and ensure timely remediation with stakeholders.
• Lead Risk Assurance reviews and present findings to senior leadership and committees.
• Engage with stakeholders to embed robust model risk practices throughout the lifecycle.

Connaissances

Team leadership

Quantitative analysis

Model validation

Communication

Formation

Graduate-level education in numerical discipline

Outils

Python

R

SQL

SAS

Description du poste

Starling Bank in Manchester seeks a Model Validation Manager to lead validation of AI/ML and traditional models across the business. You will mentor quantitative analysts, own validation reports, and work within the risk governance framework to ensure robust risk management.

You will present findings to senior leadership and committees, engaging with model developers and owners to drive timely remediation. This is a pivotal role in our model risk oversight.