Quantitative Credit Risk Analyst: Models & Insights

SEB; Solna kommun; On-site; SEK 700,000 - 1,000,000; Full time

Benefits offered by this job

Friendly culture

Career development

Competitive compensation

Job summary

SEB is seeking a Quantitative Credit Risk Analyst to develop and review credit risk models, leveraging Python and SAS to analyze large datasets and macro indicators. You will collaborate across the bank to translate outputs into actionable insights and ensure models meet regulatory standards.

The role offers exposure to a dedicated expert team with growth opportunities and a culture that emphasizes learning, innovation, and career development.

Qualifications

• Strong background in mathematics, statistics, econometrics, finance or related quantitative fields.
• Experience with programming languages such as Python and SAS.
• Curiosity for data and ability to handle large datasets with statistical software.

Responsibilities

• Develop and review credit risk models aligned with regulations.
• Use statistical and ML techniques to analyze data and extract risk factors.
• Collaborate with business areas to explain model outputs.
• Monitor and back-test models to ensure accuracy and compliance.
• Contribute to data quality and regulatory projects within credit risk.

Skills

Python

SAS

Mathematics

Statistics

Econometrics

Data visualization

Communication

Education

Statistics

Mathematics

Econometrics

Tools

Python

SAS

Job description

SEB is seeking a Quantitative Credit Risk Analyst to develop and review credit risk models, leveraging Python and SAS to analyze large datasets and macro indicators. You will collaborate across the bank to translate outputs into actionable insights and ensure models meet regulatory standards.

The role offers exposure to a dedicated expert team with growth opportunities and a culture that emphasizes learning, innovation, and career development.