At a Glance
- Tasks: Develop and maintain critical credit risk models, focusing on IFRS 9.
- Company: Starling, a leading financial institution based in Manchester.
- Benefits: 25 days holiday, enhanced pension scheme, and private medical insurance.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in credit risk modelling.
- Qualifications: 3-5 years of experience in impairment modelling and proficiency in Python.
The predicted salary is between 50000 - 60000 £ per year.
Starling, located in Manchester, seeks an experienced Impairment Modeller to join its Credit Risk Modelling Team. You'll be responsible for developing and maintaining critical credit risk models, particularly IFRS 9.
We're looking for someone with at least 3-5 years of experience in this area who is proficient in Python and has a strong understanding of regulatory guidelines. The role emphasizes collaboration with stakeholders to ensure accurate model development and performance monitoring.
Enjoy benefits such as 25 days holiday, enhanced pension scheme, and private medical insurance.
Senior IFRS 9 Credit Risk Modeller in Manchester employer: Starling
Starling is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Manchester. With a strong emphasis on employee growth, we offer comprehensive benefits including 25 days of holiday, an enhanced pension scheme, and private medical insurance, making it a rewarding place for professionals looking to make a meaningful impact in the field of credit risk modelling.
StudySmarter Expert Advice🤫
We think this is how you could land Senior IFRS 9 Credit Risk Modeller in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Starling. A friendly chat can sometimes lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your experience with IFRS 9 and Python. This will help you stand out during interviews and demonstrate your expertise.
✨Tip Number 3
Practice makes perfect! Brush up on your technical skills and be ready to discuss how you've tackled challenges in credit risk modelling. Confidence in your abilities can really impress potential employers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior IFRS 9 Credit Risk Modeller in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in credit risk modelling, especially with IFRS 9. We want to see how your skills in Python and understanding of regulatory guidelines make you the perfect fit for our team.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about credit risk modelling and how your previous experiences align with what we're looking for. Keep it engaging and relevant!
Showcase Your Collaboration Skills:Since this role involves working closely with stakeholders, don’t forget to mention any past experiences where you successfully collaborated with others. We love seeing teamwork in action!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, we can’t wait to hear from you!
How to prepare for a job interview at Starling
✨Know Your IFRS 9 Inside Out
Make sure you brush up on your knowledge of IFRS 9 and its implications for credit risk modelling. Be prepared to discuss how you've applied these principles in your previous roles, as this will show your expertise and understanding of the regulatory landscape.
✨Show Off Your Python Skills
Since proficiency in Python is a must-have, be ready to demonstrate your coding skills. You might be asked to solve a problem or explain a piece of code during the interview, so practice coding challenges related to credit risk modelling beforehand.
✨Collaboration is Key
This role emphasises working with stakeholders, so think of examples where you've successfully collaborated with others. Be ready to discuss how you communicate complex modelling concepts to non-technical team members, as this will highlight your ability to work effectively in a team.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, the specific challenges they face in credit risk modelling, and how they measure success. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
