Level

Starling Bank

Lead Analyst - Model Validation

Starling Bank is hiring a Lead Analyst - Model Validation in London, Manchester and Cardiff, United Kingdom. Level rates it ; you can apply on Level.

AI in this role

Lead the validation and technical review of AI and machine learning models within a risk oversight team.

pythonrsqlsas
model-validationrisk-managementmachine-learningartificial-intelligence

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 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! 

As a Lead Analyst - Model Validation, you will be responsible for:

  • 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.

This role will close at 12pm on Thursday 29th October.

Requirements

  • Graduate level education preferable, ideally in a numerical degree (or an equivalent work experience);
  • Proven, hands-on experience in AI/ML model validation or direct AI model build experience is required. You must possess a deep understanding of advanced algorithms to critically challenge model developers, alongside experience with traditional credit risk or forecasting models.
  • Expert in the use of analytical tools such as Python/R/SQL/SAS and spreadsheets. 
  • 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.
  • Good knowledge of regulatory and risk management guidelines, such as EBA guidelines, CRR and PRA rules would be a bonus.

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

Lead Analyst - Model Validation at Starling Bank rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

Model ValidationRisk ManagementMachine learningArtificial IntelligencePythonRSQLSas

Questions you could be asked

  1. Tell me about a project where model validation was part of your work. What did you do?
  2. Tell me about a project where risk management was part of your work. What did you do?
  3. Tell me about a project where machine learning was part of your work. What did you do?
  4. Tell me about a project where artificial intelligence was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Model Validation, Risk Management, Machine learning, Artificial Intelligence, and Python. 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.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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