At a Glance
- Tasks: Develop and maintain credit risk models to help reshape banking.
- Company: Join Starling, a disruptive tech bank transforming how people manage money.
- Benefits: Enjoy 25 days holiday, private medical insurance, and flexible working options.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Be part of a mission-driven team making a real impact in finance.
- Qualifications: 3-5 years in credit risk modelling and proficiency in Python required.
The predicted salary is between 60000 - 75000 £ 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’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 Impairment modeller to join our Credit Risk Modelling Team. Our team plays a critical role in developing and maintaining credit risk models across Starling. 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!
As a Senior Impairment Modelling Analyst, you will be responsible for:
- Developing, executing and maintaining IFRS 9 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.
Requirements:
- Ideally a minimum 3-5 years’ experience in developing credit risk models.
- Proficient in the use of analytical tools, specifically Python.
- 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, including IFRS 9.
- 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.
- 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.
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.
Senior Impairment Modelling Analyst in Cardiff employer: Starling Bank
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 flexible holiday options, private medical insurance, and a supportive work environment that encourages personal and professional growth. Join us in reshaping the future of banking while enjoying a collaborative atmosphere in one of our vibrant UK offices.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Impairment Modelling Analyst in Cardiff
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Starling. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you're comfortable discussing IFRS 9 models and Python, as these are key to impressing the team.
✨Tip Number 3
Show off your problem-solving skills during interviews. Be ready to share examples of how you've tackled challenges in credit risk modelling – it’ll show you’re the right fit for the role.
✨Tip Number 4
Don’t hesitate to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing passionate candidates who want to join our mission.
We think you need these skills to ace Senior Impairment Modelling Analyst in Cardiff
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Impairment Modelling Analyst role. Highlight your experience in credit risk model development and any relevant skills, especially in Python. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about joining Starling and how you can contribute to our Credit Risk Modelling Team. Be genuine and let your personality come through – we love that!
Showcase Your Problem-Solving Skills:In your application, don’t forget to showcase your problem-solving skills and attention to detail. Give examples of how you've tackled challenges in previous roles, especially related to credit risk models. We’re all about finding innovative solutions!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. 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 Bank
✨Know Your Models Inside Out
As a Senior Impairment Modelling Analyst, you'll be expected to have a solid grasp of IFRS 9 models. Brush up on your knowledge and be ready to discuss your previous experiences in model development. Prepare to explain your methodology, assumptions, and any limitations you've encountered.
✨Showcase Your Analytical Skills
Since proficiency in analytical tools like Python is crucial, make sure you can demonstrate your skills during the interview. Bring examples of past projects where you've used Python for credit risk modelling. Be prepared to solve a problem or case study on the spot to showcase your analytical thinking.
✨Communicate Effectively
Strong communication skills are key in this role, especially when working with stakeholders. Practice explaining complex concepts in simple terms. Think about how you can convey your ideas clearly and concisely, as well as how you’ve collaborated with teams in the past.
✨Stay Updated on Regulations
Understanding regulatory guidelines related to credit risk is essential. Familiarise yourself with the latest developments in IFRS 9 and other relevant regulations. Be ready to discuss how these regulations impact model development and performance monitoring in your previous roles.