Structured Credit Quantitative Analyst (Hybrid, London)

targetjobs UK; Greater London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

Guy Carpenter in London is seeking a highly motivated Structured Credit Quantitative Analyst to join our team. This role is hybrid, requiring at least three days a week in the office and offers exposure to development and implementation of quantitative models.

You will contribute to risk assessment and portfolio management, develop Python-based tooling, and collaborate with senior analysts to advance modelling techniques in structured credit.

Qualifications

• 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 with attention to detail.
• Basic understanding of fixed income markets and structured credit products is a plus but not required.
• Ability to work collaboratively in a team environment.
• Self-motivated with a strong desire to learn and grow in the field of quantitative finance and structured credit.

Responsibilities

• 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.

Skills

Python

Data analysis

Quantitative modelling

Team collaboration

Problem solving

Education

Bachelor's or Master's degree in a quantitative discipline

Tools

Git

SQL

Matplotlib

Seaborn

Job description

Guy Carpenter in London is seeking a highly motivated Structured Credit Quantitative Analyst to join our team. This role is hybrid, requiring at least three days a week in the office and offers exposure to development and implementation of quantitative models.

You will contribute to risk assessment and portfolio management, develop Python-based tooling, and collaborate with senior analysts to advance modelling techniques in structured credit.