At a Glance
- Tasks: Develop and implement quantitative models for structured credit while performing data analysis.
- Company: Join Marsh, a leading firm in the finance sector with a collaborative team.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Work in a dynamic environment with experienced colleagues and excellent career prospects.
- Why this job: Make an impact in finance by enhancing modelling frameworks and reporting.
- Qualifications: Proficiency in Python is essential; experience with NumPy, pandas, and SQL is a plus.
The predicted salary is between 60000 - 80000 £ per year.
Marsh in London is seeking a highly motivated Structured Credit Quantitative Analyst to join our team.
The role is based in London and operates on a hybrid model with at least three days in the office.
You will support development and implementation of quantitative models for structured credit, perform data analysis, and collaborate with senior colleagues to enhance modelling frameworks and reporting.
Proficiency in Python is essential, with experience in Num Py, pandas and SQL a plus.
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Hybrid Structured Credit Quant Analyst – London employer: Marsh
Marsh is an excellent employer that fosters a dynamic work culture in the vibrant locations of Plymouth and Newquay, offering employees the chance to thrive in a supportive environment. With a strong emphasis on professional development and growth opportunities, team members are encouraged to enhance their skills while contributing to meaningful client relationships. The company also values resilience and ambition, making it an ideal place for those looking to make a significant impact in their careers.
