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Lead Analyst – Model Validation
Starling Bank. Lead validation and technical review of Starling’s expanding portfolio of AI/ML models to ensure safe deployment .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI/ML model validation and traditional credit risk models, with strong analytical skills using tools like Python, R, SQL, and SAS. Capable of producing clear validation reports and engaging effectively with stakeholders to manage model risk throughout the lifecycle.
Highest-signal resume keywords
AI/ML Model ValidationTraditional Credit Risk ModelsAnalytical Tools: Python, R, SQL, SASRegulatory Knowledge: EBA Guidelines, CRR, PRA RulesStrong Communication Skills
ATS Keywords
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Hard Skills
AI/ML Model ValidationTraditional Credit Risk ModelsAdvanced AlgorithmsAnalytical Tools: PythonAnalytical Tools: RAnalytical Tools: SQLAnalytical Tools: SASValidation ReportingModel Risk ManagementForecasting Models
Soft Skills
Problem-Solving SkillsAttention to DetailExcellent CommunicationTeamwork AbilitiesOrganised and Adaptable
Tools & Technologies
PythonRSQLSASSpreadsheets
Industry Keywords
Model ValidationRisk Management GuidelinesEBA GuidelinesCRRPRA Rules
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Lead validation and technical review of Starling’s expanding portfolio of AI/ML models to ensure safe deployment
- Validate traditional models such as IFRS 9, Forecasting and Operational Risk
- Produce validation reports and engage with model developers and owners so findings are understood and addressed within agreed timelines
- Produce committee papers and present at committees
- Present high-level validation findings to senior leadership
- Engage and form close relationships with key stakeholders to enable good model risk management throughout the model lifecycle
Requirements
What you’ll need- Graduate level education preferable, ideally in a numerical degree, or equivalent work experience
- Proven, hands-on experience in AI/ML model validation or direct AI model build experience required
- Deep understanding of advanced algorithms to critically challenge model developers
- Experience with traditional credit risk or forecasting models
- Expert use of 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 ability to switch between tasks seamlessly
- Strong problem-solving skills and attention to detail
- Excellent communication and teamwork abilities
- Knowledge of regulatory and risk management guidelines, such as EBA guidelines, CRR and PRA rules, would be a bonus
Benefits
Comp & perks- 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 including discounts with Waitrose, Mr&Mrs Smith and Peloton
- Generous family-friendly policies
- Perkbox membership with retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
- Cycle to Work initiative
- Salary Sacrificed Gym partnerships