At a Glance
- Tasks: Redevelop quantitative models in Python and enhance their structure.
- Company: 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 model modernisation.
- Qualifications: Strong Python skills and knowledge of credit risk or Fixed Income.
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 in London employer: McCabe & Barton
McCabe & Barton is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. Employees benefit from competitive remuneration, opportunities for professional growth, and the chance to work on cutting-edge projects in credit risk and model modernisation. With a focus on employee development and a supportive environment, this role not only promises meaningful work but also the potential for a long-term career path.
StudySmarter Expert Advice🤫
We think this is how you could land Quant Developer — Credit Risk & Model Modernisation in London
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and quant communities 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 showcasing your Python prowess, make sure to highlight them during interviews. It’s all about demonstrating what you can do!
✨Tip Number 3
Prepare for technical questions! Brush up on your credit risk knowledge 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 in the process.
We think you need these skills to ace Quant Developer — Credit Risk & Model Modernisation in London
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 love seeing candidates who can connect their past experiences with the requirements of the role.
Tailor Your Application:Don’t just send a generic CV and cover letter! We recommend tailoring your application to reflect the specifics of the job description. Mention how your skills align with redeveloping quantitative models and enhancing structures.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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 ready to discuss specific projects where you've used Python to solve complex problems, as this will show your practical experience and understanding of the language.
✨Understand Credit Risk Fundamentals
Familiarise yourself with key concepts in credit risk and Fixed Income. Be prepared to explain how these concepts apply to model redevelopment and modernisation. This knowledge will demonstrate your expertise and readiness for the role.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to tackle hypothetical scenarios or case studies related to quantitative modelling. This is your chance to showcase your analytical thinking and problem-solving abilities, which are crucial for a Quant Developer.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to model modernisation and the technologies they use. This not only shows your interest in the role but also helps you gauge if the company aligns with your career goals.
