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- Tasks: Develop and implement IFRS9 credit risk models using Python.
- Company: Boutique consultancy in London with a focus on risk modelling.
- Benefits: Attractive salary, bonus scheme, and potential equity opportunities.
- Why this job: Join a growing team and make a real impact in financial risk management.
- Qualifications: Experience in financial institutions and a degree in a quantitative field.
- Other info: Unique opportunity for career growth and client networking.
The predicted salary is between 50000 - 90000 £ per year.
A boutique consultancy based in London seeks a Risk Modelling Consultant with IFRS9 expertise and strong analytical skills, ideally in Python. This full-time role offers an enticing salary range from £50k to £90k based on experience, along with potential client introductions and a bonus scheme.
The ideal candidate will have substantial UK-based experience in financial institutions and a degree in a quantitative discipline. Join a growing team and be part of a unique opportunity to earn equity and contribute to company success.
IFRS9 Credit Risk Modeller – Python Specialist employer: PeopleGenius
Contact Detail:
PeopleGenius Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land IFRS9 Credit Risk Modeller – Python Specialist
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and risk modelling sectors. Attend industry events or webinars to meet potential employers and showcase your IFRS9 expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your Python skills. Be ready to discuss how you've applied analytical techniques in past roles, especially in relation to credit risk modelling.
✨Tip Number 3
Don’t just apply through job boards; head over to our website and submit your application directly. This way, you’ll stand out and show that you’re genuinely interested in joining our team.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Mention something specific from your conversation to remind them why you’re the perfect fit for the role.
We think you need these skills to ace IFRS9 Credit Risk Modeller – Python Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your IFRS9 expertise and Python skills. We want to see how your experience aligns with the role, so don’t be shy about showcasing your analytical prowess!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for our team and how your background in financial institutions makes you stand out. Keep it engaging and relevant!
Showcase Your Achievements: When detailing your experience, focus on specific achievements that demonstrate your skills in risk modelling. We love numbers, so if you can quantify your successes, even better!
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at PeopleGenius
✨Know Your IFRS9 Inside Out
Make sure you brush up on your IFRS9 knowledge before the interview. Be ready to discuss how it impacts credit risk modelling and share examples from your past experience. This will show that you’re not just familiar with the theory but can apply it in real-world scenarios.
✨Show Off Your Python Skills
Since this role requires strong analytical skills in Python, prepare to demonstrate your coding abilities. You might be asked to solve a problem or explain your approach to a modelling task. Practise coding challenges related to financial data analysis to feel confident.
✨Highlight Your UK Financial Experience
The consultancy is looking for candidates with substantial UK-based experience. Be ready to discuss specific projects you've worked on within financial institutions in the UK. This will help them see how your background aligns with their needs.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s approach to risk modelling and their client base. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. Plus, it gives you a chance to engage with the interviewers.