Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and implement quantitative models for structured credit products.
- Company: Join Guy Carpenter, a leader in risk management and analytics.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship from experienced analysts.
- Why this job: Kickstart your career in finance with hands-on experience in quantitative analysis.
- Qualifications: Degree in a quantitative field and proficiency in Python programming.
The predicted salary is between 30000 - 40000 £ per year.
We are seeking a highly motivated and analytically skilled Structured Credit Quantitative Analyst to join our team at Guy Carpenter. This role will be based in London. This is a hybrid role that has a requirement of working at least three days a week in the office.
This early-career role is ideal for recent graduates or professionals who have a strong foundation in quantitative disciplines and programming. The successful candidate will support the development and implementation of quantitative models to analyse structured credit products and contribute to risk assessment and portfolio management.
We will count on you to:
- Develop, validate, and implement quantitative models for structured credit products
- Perform data analysis and statistical modelling to support credit risk assessment and pricing
- Collaborate with senior quantitative analysts to enhance modelling frameworks and improve decision-making processes
- Write clean, efficient, and well-documented code primarily in Python to automate data processing, model implementation, and reporting
- Conduct research on market trends, credit performance, and new modelling techniques relevant to structured credit
- Assist in preparing presentations and reports for internal stakeholders and external clients
What you need to have:
- Bachelor’s or Master’s degree in a quantitative discipline such as Mathematics, Physics, Computer Science, Engineering, Statistics, or a related field
- Relevant experience, including internships or academic projects involving quantitative analysis or programming
- Proficiency in Python programming, including experience with libraries such as NumPy, pandas, SciPy, or similar
- Familiarity with basic version control tools such as Git
- Strong analytical and problem-solving skills
Structured Credit Quantitative Analyst (Entry/Graduate level considered) in London employer: Guy Carpenter
Contact Detail:
Guy Carpenter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Structured Credit Quantitative Analyst (Entry/Graduate level considered) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the structured credit field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative models and coding projects. This is your chance to demonstrate what you can do beyond the application.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding of structured credit products. We want to see your analytical thinking in action, so practice problem-solving questions!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Guy Carpenter.
We think you need these skills to ace Structured Credit Quantitative Analyst (Entry/Graduate level considered) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your quantitative skills and any relevant programming experience. We want to see how your background aligns with the role, so don’t be shy about showcasing your projects or internships!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about structured credit and how your skills can contribute to our team. Keep it concise but impactful – we love a good story!
Show Off Your Python Skills: Since Python is key for this role, mention any specific projects where you’ve used it. If you’ve worked with libraries like NumPy or pandas, give us the details! We want to know how you’ve applied your coding skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at Guy Carpenter!
How to prepare for a job interview at Guy Carpenter
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative skills and concepts relevant to structured credit. Be ready to discuss your academic projects or internships where you applied these skills, especially in Python programming. They’ll want to see how you can translate theory into practice.
✨Show Off Your Coding Skills
Since the role involves writing clean and efficient code, be prepared to demonstrate your Python proficiency. You might be asked to solve a coding problem on the spot, so practice using libraries like NumPy and pandas beforehand. It’s all about showing you can automate processes effectively!
✨Research is Key
Dive into recent market trends and developments in structured credit. Being able to discuss current events or new modelling techniques will show that you’re genuinely interested in the field. This knowledge can set you apart from other candidates who may not have done their homework.
✨Prepare for Collaboration Questions
Since this role involves working with senior analysts, think about examples from your past experiences where you collaborated effectively. Be ready to discuss how you contributed to team projects and how you handle feedback. They’ll want to see that you can work well in a team environment.