Credit Risk Analyst, SME - Hybrid London, Data-Driven

Pliant; Greater London; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

A financial technology company in London is seeking a Credit Risk Analyst to develop and optimize automated credit risk strategies for SMEs. The ideal candidate will have 3-5 years of experience in risk modeling, strong skills in SQL and Python, and a good understanding of credit strategies for unsecured exposures. Join a dynamic team that values flexibility, collaboration, and innovative problem solving. This is a hybrid position with attractive remuneration.

Benefits

Attractive remuneration

Flexible working hours

Company card for meals

Qualifications

• 3–5 years of experience in risk modeling or quantitative analytics.
• Good understanding of credit risk strategies for unsecured SME exposures.
• Strong data analysis capabilities, SQL and Python essential.

Responsibilities

• Design and build automated credit risk strategies.
• Analyze portfolio performance and identify risk drivers.
• Collaborate with Risk Management and Engineering teams.

Skills

Credit risk strategies

SQL

Python

Data analysis

Risk modeling

Communication

Agile development

Education

Degree in a quantitative or engineering discipline

Tools

Statistical modeling software

APIs

Job description

A financial technology company in London is seeking a Credit Risk Analyst to develop and optimize automated credit risk strategies for SMEs. The ideal candidate will have 3-5 years of experience in risk modeling, strong skills in SQL and Python, and a good understanding of credit strategies for unsecured exposures. Join a dynamic team that values flexibility, collaboration, and innovative problem solving. This is a hybrid position with attractive remuneration.