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- Tasks: Lead research and develop innovative credit risk models in a collaborative setting.
- Company: A top global risk assessment firm based in Edinburgh.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of financial technology.
- Qualifications: Strong numerical skills and experience in credit modelling and Python programming.
- Other info: Exciting environment with potential for significant career advancement.
The predicted salary is between 43200 - 72000 £ per year.
A leading global risk assessment firm in Edinburgh seeks a quantitative professional to enhance credit risk modelling solutions. You will lead research and model development initiatives, collaborating across teams in a dynamic environment.
Ideal candidates have a strong numerical background with experience in structural credit modelling and programming skills in Python. This role offers an opportunity to work at the forefront of financial technology and client engagement.
Senior Research Lead: Credit Risk & Scenario Modelling employer: Moody's Investors Service
Contact Detail:
Moody's Investors Service Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Lead: Credit Risk & Scenario Modelling
✨Tip Number 1
Network like a pro! Reach out to professionals in the credit risk and modelling space on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your Python skills and understanding the latest trends in credit risk modelling. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant modelling projects, make sure to highlight them during interviews. We love seeing real-world applications of your skills, so be ready to discuss your thought process and outcomes.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Senior Research Lead: Credit Risk & Scenario Modelling
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong numerical background and any experience you have with structural credit modelling. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention your programming skills in Python and how they can enhance our credit risk modelling solutions. It shows us you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points if necessary to make your achievements stand out!
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 don’t miss any important updates from our team!
How to prepare for a job interview at Moody's Investors Service
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss specific examples of your work in credit risk modelling. Prepare to explain your thought process behind model development and how you've tackled challenges in the past.
✨Showcase Your Programming Skills
Since programming in Python is key for this role, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms or data manipulation tasks that relate to credit risk.
✨Collaborative Mindset
This position involves working across teams, so highlight your experience in collaboration. Share examples of how you’ve successfully worked with others to achieve a common goal, especially in dynamic environments.
✨Stay Current with Financial Technology
Familiarise yourself with the latest trends in financial technology and how they impact credit risk assessment. Being able to discuss recent developments will show your passion for the field and your commitment to staying ahead of the curve.
