Hybrid Credit Risk Analyst — UK SME Models (Python)

HSBC Group; City of Westminster; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading global bank in London is seeking a Credit Risk Modeler to support the development and maintenance of wholesale credit risk models. This role requires a strong background in quantitative analysis, programming skills in Python, and the ability to engage with stakeholders for data remediation. The position offers a hybrid working style, creating opportunities within a diverse and inclusive environment. Candidates should possess attention to detail and problem-solving abilities.

Qualifications

• Background in a quantitative or technical field is essential.
• Knowledge of retail and/or wholesale credit processes is advantageous.
• Programming skills in Python are essential.

Responsibilities

• Support development and maintenance of wholesale credit risk models.
• Explore new data sources to improve model performance.
• Engage with stakeholders for data remediation.

Skills

Quantitative analysis

Problem solving

Attention to detail

Python programming

SAS knowledge

Education

Degree in mathematics, statistics, or econometrics

Job description

A leading global bank in London is seeking a Credit Risk Modeler to support the development and maintenance of wholesale credit risk models. This role requires a strong background in quantitative analysis, programming skills in Python, and the ability to engage with stakeholders for data remediation. The position offers a hybrid working style, creating opportunities within a diverse and inclusive environment. Candidates should possess attention to detail and problem-solving abilities.