At a Glance
- Tasks: Develop and maintain credit risk models to meet business needs.
- Company: Join Starling, a leading bank in Manchester with a vibrant team.
- Benefits: Enjoy 25 annual holidays, a birthday holiday, and private medical insurance.
- Other info: Be part of a dynamic team with great opportunities for professional growth.
- Why this job: Make a real impact in credit risk modelling while growing your career.
- Qualifications: 3-5 years of experience and proficiency in Python required.
The predicted salary is between 50000 - 60000 £ per year.
Starling in Manchester is looking for an Impairment Modeller to join their Credit Risk Modelling Team. You will be responsible for developing and maintaining credit risk models, ensuring that they meet various business requirements.
The ideal candidate should have 3-5 years of relevant experience and be proficient in Python.
The position comes with a variety of benefits, including 25 annual holidays, a birthday holiday, and private medical insurance.
Senior IFRS 9 Impairment Modelling Specialist in Manchester employer: Starling
Starling Bank is an exceptional employer located in the vibrant city of Manchester, offering a dynamic work culture that fosters innovation and collaboration. With a strong focus on employee growth, you will have access to numerous development opportunities while enjoying generous benefits such as 25 annual holidays, a birthday holiday, and private medical insurance. Join us to be part of a forward-thinking team where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Senior IFRS 9 Impairment Modelling Specialist in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Starling or similar companies. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or models you’ve worked on, don’t hesitate to share them. It’s a great way to demonstrate your proficiency in Python and your understanding of credit risk modelling.
✨Tip Number 3
Prepare for the interview by brushing up on IFRS 9 standards and recent trends in credit risk. We want you to be ready to discuss how your experience aligns with the role and how you can contribute to the team.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior IFRS 9 Impairment Modelling Specialist in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in credit risk modelling and Python proficiency. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how your background makes you a perfect fit for our Credit Risk Modelling Team. Keep it engaging and personal!
Showcase Your Experience:When detailing your experience, focus on specific examples that demonstrate your expertise in IFRS 9 impairment modelling. We love seeing real-world applications of your skills, so don’t hold back!
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’s super easy to do!
How to prepare for a job interview at Starling
✨Know Your Models
Make sure you brush up on your knowledge of credit risk models, especially those related to IFRS 9. Be prepared to discuss your previous experience in developing and maintaining these models, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Python Skills
Since proficiency in Python is a must for this role, be ready to demonstrate your coding skills. You might be asked to solve a problem or explain your approach to model development using Python, so practice coding exercises beforehand.
✨Understand the Business Requirements
Familiarise yourself with the business requirements that impact credit risk modelling. Research Starling's approach to credit risk and think about how you can align your modelling strategies with their goals. This shows that you're not just technically skilled but also understand the bigger picture.
✨Prepare Questions
Interviews are a two-way street, so prepare insightful questions to ask your interviewers. Inquire about the team dynamics, the specific challenges they face in credit risk modelling, and how success is measured in this role. This demonstrates your genuine interest in the position and helps you assess if it's the right fit for you.
