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- Tasks: Redevelop quantitative models in Python and enhance their structure.
- Company: Join McCabe & Barton, a leading firm in financial services.
- Benefits: Initial 6-month contract with potential for permanent role.
- Other info: Opportunity to work with diverse asset classes in a dynamic environment.
- Why this job: Gain hands-on experience in credit risk and modernisation projects.
- Qualifications: Strong Python skills and knowledge of credit risk or Fixed Income required.
The predicted salary is between 60000 - 80000 £ per year.
McCabe & Barton is seeking a Quant Developer - Credit for an initial 6-month contract in Greater London. The role focuses on redeveloping quantitative models in Python and enhancing their structure within a modernisation programme.
Required skills include:
- Strong Python experience in a quant environment
- Knowledge of credit risk or Fixed Income
This position offers exposure to other asset classes and a potential transition to a permanent role.
Quant Developer — Credit Risk & Model Modernisation employer: McCabe & Barton
Contact Detail:
McCabe & Barton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer — Credit Risk & Model Modernisation
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and quant space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or GitHub repos, make sure to highlight them. It’s a great way to demonstrate your Python prowess and quant knowledge.
✨Tip Number 3
Prepare for those interviews! Brush up on your credit risk concepts and be ready to discuss how you've tackled similar challenges in the past. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can give you an edge.
We think you need these skills to ace Quant Developer — Credit Risk & Model Modernisation
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your strong Python experience in your application. We want to see how you've used Python in a quant environment, so share specific examples of projects or models you've worked on.
Demonstrate Your Knowledge of Credit Risk: Since this role focuses on credit risk and Fixed Income, it's crucial to showcase your understanding of these areas. We recommend mentioning any relevant experience or coursework that relates to credit risk modelling.
Tailor Your Application: Take the time to customise your application for this role. We love seeing candidates who take the initiative to align their skills and experiences with what we're looking for in a Quant Developer.
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 in Greater London!
How to prepare for a job interview at McCabe & Barton
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in a quantitative context. Be prepared to discuss specific projects where you've used Python to solve complex problems, and think about how you can demonstrate your coding abilities during the interview.
✨Understand Credit Risk Fundamentals
Familiarise yourself with key concepts in credit risk and Fixed Income. You might be asked to explain how different models work or discuss recent trends in the market, so having a solid grasp of these topics will show that you're not just technically skilled but also knowledgeable about the field.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving skills and understanding of quantitative models. Practice coding challenges and be ready to walk through your thought process. This will help you showcase your analytical skills and how you approach complex issues.
✨Show Enthusiasm for Modernisation
Since the role involves modernising existing models, express your interest in innovation and improvement. Share any experiences you've had with modernisation projects or how you've contributed to enhancing processes in previous roles. This will demonstrate that you're aligned with their goals.