Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Validate and oversee risks of advanced models, including AI, across Starling.
- Company: Join Starling, a disruptive tech bank transforming how people manage money.
- Benefits: Enjoy 25 days holiday, private medical insurance, and flexible working options.
- Why this job: Be part of a team that shapes the future of banking with innovative risk management.
- Qualifications: Experience in model validation and proficiency in analytical tools like Python or R.
- Other info: Dynamic work culture with opportunities for personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
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 employ more than 3,500 people across our London, Southampton, Cardiff and Manchester offices.
We are looking for a talented and passionate Lead Risk Analyst - Model Validation to join our Model Risk Oversight Team. The team focuses on validating and overseeing the risks associated with all models across Starling, particularly those involving advanced modeling techniques (including AI). If you have model validation / model build experience across a variety of models (credit risk, AI, forecasting) 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:
- Validating different types of models used across Starling, such as IFRS 9, Forecasting, Operational Risk, AI/ML models.
- 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.
Requirements
- Graduate level education preferable, ideally in a numerical degree (or an equivalent work experience);
- Experience in model validation or model development, ideally across different model types.
- Knowledge of the AI models would be a bonus.
- 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
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.
Lead Risk Analyst - Model Validation in Manchester employer: Starling Bank
Contact Detail:
Starling Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Risk Analyst - Model Validation in Manchester
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Starling. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your experiences with model validation and any cool projects you've worked on. Let them see how your skills can make a difference at Starling.
✨Prepare for the Spotlight
If you land an interview, prep like it’s a big presentation. Know your stuff about model risk management and be ready to discuss how you’d tackle challenges at Starling. Confidence is key!
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates who want to join our mission.
We think you need these skills to ace Lead Risk Analyst - Model Validation in Manchester
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for the role shine through! We want to see why you're excited about joining our Model Risk Oversight Team and how your experience aligns with our mission to reshape banking.
Tailor Your CV: Make sure your CV is tailored to highlight your model validation experience and analytical skills. We love seeing specific examples of how you've tackled challenges in the past, especially with AI or forecasting models!
Be Clear and Concise: In your application, articulate your findings and experiences clearly. We appreciate straightforward communication, so keep it succinct and relevant to the role. Remember, we’re looking for someone who can present complex ideas simply!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on being part of our innovative team!
How to prepare for a job interview at Starling Bank
✨Know Your Models Inside Out
Make sure you’re well-versed in the different types of models you'll be validating, especially IFRS 9, AI/ML models, and forecasting. Brush up on your analytical tools like Python, R, SQL, and SAS, as you might be asked to demonstrate your expertise during the interview.
✨Communicate Clearly and Confidently
Practice articulating your findings and experiences in a clear and concise manner. Remember, you’ll need to present high-level validation findings to senior leadership, so being able to communicate complex ideas simply is key. Consider doing mock interviews with friends or colleagues to refine your delivery.
✨Engage with Stakeholders
Show that you understand the importance of building relationships with model developers and owners. Be prepared to discuss how you would engage with stakeholders to ensure validation findings are understood and addressed. This will demonstrate your teamwork abilities and your approach to model risk management.
✨Stay Organised and Adaptable
Highlight your organisational skills and ability to switch between tasks seamlessly. The role requires flexibility, so think of examples from your past experiences where you successfully managed multiple priorities. This will show that you can thrive in a fast-paced environment like Starling.
