Structured Credit Quantitative Analyst (Entry/Graduate level considered)

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

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.

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 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.

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.

At Guy Carpenter, a Marsh business, you can be your best. We work on challenges that matter with colleagues who help bring out our best. Our uniquely collaborative environment will empower you to focus on your personal and professional success, learning from top specialists in the (re)insurance industry and leading you towards a rewarding and impactful career.

Guy Carpenter is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective.

Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, civil partnership status, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. We are an equal opportunities employer. We are committed to providing reasonable adjustments in accordance with applicable law to any candidate with a disability to allow them to fully participate in the recruitment process.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.