At a Glance
- Tasks: Develop and validate credit risk models, focusing on IFRS 9.
- Company: Harnham, a leader in credit risk modelling based in Hertfordshire.
- Benefits: Competitive salary, flexible benefits, and hybrid work options.
- Other info: Collaborate with international stakeholders in a dynamic environment.
- Why this job: Join a growing team and enhance your skills in credit risk modelling.
- Qualifications: Strong background in credit risk models, IFRS 9, SAS, and Python.
The predicted salary is between 60000 - 75000 β¬ per year.
Harnham is seeking a Senior Modelling Credit Analyst to enhance their credit risk modelling capability based in Hertfordshire. This hybrid role involves developing and validating credit risk models, focusing initially on IFRS 9 while offering opportunities for broader exposure as the team grows.
The ideal candidate will have a strong background in credit risk models, IFRS 9, SAS and Python programming, and will work closely with international stakeholders. Competitive salary and flexible benefits included.
Senior Credit Risk Modeller β IFRS9 & PD/LGD (Hybrid) in England employer: Harnham
Harnham is an exceptional employer that fosters a collaborative and innovative work culture, particularly for those in the Senior Credit Risk Modeller role. Located in Hertfordshire, employees benefit from a hybrid working model, competitive salaries, and flexible benefits, alongside ample opportunities for professional growth and development within a dynamic team focused on enhancing credit risk modelling capabilities.
StudySmarter Expert Adviceπ€«
We think this is how you could land Senior Credit Risk Modeller β IFRS9 & PD/LGD (Hybrid) in England
β¨Tip Number 1
Network like a pro! Reach out to professionals in the credit risk modelling field on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
β¨Tip Number 2
Prepare for interviews by brushing up on IFRS 9 and your programming skills in SAS and Python. We recommend doing mock interviews with friends or using online platforms to build confidence.
β¨Tip Number 3
Showcase your projects! If you've worked on any credit risk models or relevant analyses, make sure to highlight these in your conversations. Real-world examples can set you apart from other candidates.
β¨Tip Number 4
Donβt forget to apply through our website! Itβs 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 Credit Risk Modeller β IFRS9 & PD/LGD (Hybrid) in England
Some tips for your application π«‘
Tailor Your CV:Make sure your CV highlights your experience with credit risk models and IFRS 9. We want to see how your skills in SAS and Python can shine through, so donβt hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why youβre the perfect fit for this role. Share your passion for credit risk modelling and how your background aligns with our needs. Keep it engaging and personal!
Showcase Your Technical Skills:Since weβre looking for someone with strong programming skills, make sure to mention specific projects where youβve used SAS and Python. We love seeing real-world applications of your technical expertise!
Apply Through Our Website:We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures you donβt miss out on any important updates from our team!
How to prepare for a job interview at Harnham
β¨Know Your Models Inside Out
Make sure youβre well-versed in credit risk models, especially IFRS 9. Brush up on your knowledge of SAS and Python, as you might be asked to discuss specific modelling techniques or even solve a problem on the spot.
β¨Showcase Your Stakeholder Skills
Since this role involves working with international stakeholders, prepare examples of how you've successfully collaborated with diverse teams. Highlight your communication skills and adaptability in previous projects.
β¨Prepare for Technical Questions
Expect technical questions related to credit risk modelling. Review common methodologies and be ready to explain your thought process. Practising with mock interviews can help you articulate your answers clearly.
β¨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the company and the role. Inquire about the teamβs future projects or how they measure the success of their models. This demonstrates your enthusiasm and forward-thinking approach.