Lead Risk Analyst - Model Validation
Lead Risk Analyst - Model Validation

Lead Risk Analyst - Model Validation

Full-Time 36000 - 60000 £ / year (est.) No home office possible
S

At a Glance

  • Tasks: Validate and oversee risks of advanced models, including AI, at a pioneering bank.
  • Company: Join Starling, a disruptive tech bank transforming how people manage their money.
  • Benefits: Enjoy 25 days holiday, private medical insurance, and flexible working options.
  • Why this job: Be part of a team shaping the future of banking with innovative risk management.
  • Qualifications: Experience in model validation and proficiency in analytical tools like Python or R.
  • Other info: Diverse and inclusive workplace with excellent career growth opportunities.

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 (e.g., 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!

Responsibilities

  • 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.

Qualifications

  • 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

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.

Lead Risk Analyst - Model Validation employer: Starling Bank

At Starling Bank, we pride ourselves on being a forward-thinking employer that combines the innovation of a tech company with the stability of a fully licensed bank. Our vibrant work culture fosters collaboration and inclusivity, offering employees ample opportunities for professional growth and development. With generous benefits such as enhanced annual leave, private medical insurance, and a commitment to work-life balance, we empower our team members to thrive both personally and professionally in our dynamic offices across the UK.
S

Contact Detail:

Starling Bank Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Risk Analyst - Model Validation

✨Tip Number 1

Network like a pro! Reach out to current employees at Starling on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.

✨Tip Number 2

Prepare for the interview by brushing up on your model validation knowledge. Be ready to discuss specific models you've worked with, especially those involving AI. Show them you’re not just a number cruncher but a problem solver!

✨Tip Number 3

Don’t underestimate the power of a follow-up! After your interview, drop a quick thank-you email to express your appreciation and reiterate your enthusiasm for the role. It keeps you fresh in their minds.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Starling team. Let’s make banking better together!

We think you need these skills to ace Lead Risk Analyst - Model Validation

Model Validation
Model Development
Analytical Tools (Python/R/SQL/SAS)
Data Analysis
Communication Skills
Problem-Solving Skills
Attention to Detail
Stakeholder Engagement
Regulatory Knowledge (EBA guidelines, CRR, PRA rules)
Adaptability
Teamwork
Presentation Skills
Organisational Skills
AI/ML Model Knowledge

Some tips for your application 🫡

Show Your Passion: When writing your application, let your enthusiasm for the role shine through! We want to see how excited you are about model validation and working with advanced techniques like AI. A little passion goes a long way in making your application stand out.

Tailor Your Experience: Make sure to highlight your relevant experience in model validation or development. We’re looking for specific examples that showcase your skills with different model types. Don’t just list your duties; tell us how you made an impact!

Be Clear and Concise: We appreciate clarity! When articulating your findings or experiences, keep it succinct and tailored to the audience. This is especially important for presenting to senior leadership, so practice summarising your key points effectively.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our amazing culture there!

How to prepare for a job interview at Starling Bank

✨Know Your Models Inside Out

Make sure you have a solid understanding of the different types of models you'll be validating, especially those related to credit risk and AI. Brush up on IFRS 9 and forecasting techniques, as well as any specific methodologies used at Starling. This will help you answer questions confidently and demonstrate your expertise.

✨Prepare for Technical Questions

Expect to be quizzed on your analytical skills and tools like Python, R, SQL, and SAS. Be ready to discuss how you've used these tools in past projects. Practising coding problems or model validation scenarios can give you an edge and show that you're hands-on with the technical aspects of the role.

✨Communicate Clearly and Effectively

Since you'll be presenting findings to senior leadership, practice articulating complex ideas in a clear and concise manner. Use examples from your previous experience to illustrate your points. This will not only showcase your communication skills but also your ability to engage with stakeholders effectively.

✨Show Your Problem-Solving Skills

Be prepared to discuss specific challenges you've faced in model validation and how you overcame them. Highlight your attention to detail and adaptability, as these are crucial in a fast-paced environment like Starling. Sharing real-life examples will make your answers more relatable and impactful.

Lead Risk Analyst - Model Validation
Starling Bank

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

S
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>