At a Glance
- Tasks: Develop and implement quantitative models for structured credit products and support risk assessment.
- Company: Join Guy Carpenter, a global leader in risk and reinsurance, in a dynamic team.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on diversity and inclusion.
- Why this job: Kickstart your career in quantitative finance and make an impact in structured credit 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 requires working at least three days a week in the office.
- What you can expect
- 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 Num Py, pandas, Sci Py, 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.
- What makes you stand out
- Experience with data visualization tools (e. g., Matplotlib, Seaborn).
- Familiarity with SQL or other database querying languages.
- Exposure to risk management frameworks or financial modeling software.
Guy Carpenter is a business of Marsh, a global leader in risk and reinsurance.
Marsh is committed to a diverse, inclusive, and flexible work environment.
We are an equal‑opportunity employer and are committed to providing reasonable adjustments in accordance with applicable law to any candidate with a disability.
If you have a disability that may require reasonable adjustments, please contact us at reasonableaccommodations@marsh. com.
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Structured Credit Quantitative Analyst (Entry/Graduate level considered) employer: Guy Carpenter
At Guy Carpenter, we pride ourselves on being an excellent employer by fostering an inclusive culture that values collaboration and professional growth. Our London office offers a hybrid work model, allowing you to balance your personal and professional life while engaging in meaningful projects that impact our clients. With a commitment to employee development and a supportive team environment, you'll find ample opportunities to advance your career in the dynamic field of reinsurance.
