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 Modelling Senior Analyst to join our Credit Risk Modelling Team. Our team plays a critical role in developing and maintaining credit risk models across Starling, focussing on both IFRS 9 and operational models. If you have experience in credit risk model development in either of these areas, and are eager to be part of the team that plays a vital role in credit risk management, we want to hear from you!

REQUIREMENTS:

• Ideally a minimum 3 - 5 years’ experience in developing operational credit risk models and/or IFRS9 models.
• Proficient in the use of analytical tools, specifically Python/SQL and spreadsheets.
• Graduate level education preferable, ideally in a numerical degree (or an equivalent work experience).
• Good knowledge of regulatory and risk management guidelines relating to credit risk.
• 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.

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 & group income protection
• 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
• Incentivised refer a friend scheme
• 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, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing
  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

• Developing, executing and maintaining operational credit models and/or IFRS models.
• Working closely with stakeholders to ensure that model developments meet business requirements.
• Producing detailed model documentation, including methodology, assumptions, and limitations.
• Monitoring model performance and conducting regular reviews to ensure accuracy and stability.
• Collaborating with model validation teams to address any findings and ensure models are robust.