Lead Risk Analyst - Model Validation in Manchester
Lead Risk Analyst - Model Validation

Lead Risk Analyst - Model Validation in Manchester

Manchester Full-Time 43200 - 72000 £ / year (est.) No home office possible
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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 shaping the future of banking with innovative risk management.
  • Qualifications: Numerical degree or equivalent experience in model validation; analytical tool expertise required.
  • Other info: Diverse and inclusive workplace with excellent career growth opportunities.

The predicted salary is between 43200 - 72000 £ 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.
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, MrMrs 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.

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 data, and the rights you can exercise over our use of your personal data.

Lead Risk Analyst - Model Validation in Manchester employer: Starling

At Starling Bank, we pride ourselves on being an innovative employer that combines the best of banking with a dynamic tech culture. Our commitment to employee well-being is reflected in our generous benefits package, including 25 days of holiday, enhanced pension schemes, and a focus on work-life balance. With opportunities for professional growth and a collaborative environment, we empower our team members to thrive while reshaping the future of banking.
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Contact Detail:

Starling Recruiting Team

StudySmarter Expert Advice 🤫

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

✨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 and how you tackled challenges. Show us your problem-solving skills!

✨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 in Manchester

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)
Organisational Skills
Adaptability
Teamwork
Presentation Skills

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 being a Lead Risk Analyst at Starling and how your experience aligns with our mission to reshape banking.

Tailor Your CV: Make sure to customise your CV for this specific role. Highlight your model validation experience and any relevant skills in analytical tools like Python or R. We love seeing how your unique background fits into our team!

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, clarity is key when presenting complex information!

Apply Through Our Website: We encourage you to apply directly 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 joining our team!

How to prepare for a job interview at Starling

✨Know Your Models Inside Out

Make sure you’re well-versed in the different types of models you'll be validating, especially those mentioned in the job description like IFRS 9 and AI/ML models. Brush up on your understanding of model validation processes and be ready to discuss specific examples from your experience.

✨Communicate Clearly and Confidently

Since you'll be presenting findings to senior leadership, practice articulating complex concepts in a clear and concise manner. Use simple language to explain your analysis and ensure you can tailor your communication style to suit different audiences.

✨Build Relationships with Stakeholders

Demonstrate your ability to engage with model developers and owners during the interview. Share examples of how you've successfully collaborated with stakeholders in the past, as this role requires forming close relationships for effective model risk management.

✨Showcase Your Analytical Skills

Be prepared to discuss your proficiency with analytical tools like Python, R, SQL, or SAS. Consider bringing along a portfolio of your work or examples of projects where you’ve used these tools to validate models, as this will highlight your technical expertise.

Lead Risk Analyst - Model Validation in Manchester
Starling
Location: Manchester

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