Quantitative Credit Risk Analyst: Data-Driven Modelling & Impact

SEB; Stockholms kommun; On-site; SEK 850,000 - 1,100,000; Full time

Benefits offered by this job

Friendly culture

Challenging projects in credit risk

Learning and career progression

Attractive compensation and benefits

Job summary

SEB in Stockholm is seeking a Quantitative Credit Risk Analyst to join the Non-Retail Credit Risk Modelling team. You will build and maintain core credit risk models and work across risk, business and credit functions to support decisions and regulatory compliance.

The role offers exposure to big data and regulatory-driven projects, with opportunities for professional growth within a collaborative, expert team. Swedish language is not required, but English communication is essential.

Qualifications

• Master's degree in a quantitative field.
• Hands-on experience working with data, analysis and modelling.
• Proficiency in Python.
• Strong communication skills in English, both spoken and written.

Responsibilities

• Explore large and complex datasets to uncover patterns and gain insights into credit risk behaviour.
• Develop, enhance and maintain models that support credit decisions, capital adequacy and pricing strategies.
• Participate in regulatory and internal model development projects, collaborating with experienced quants and credit risk experts.
• Present analysis and findings to internal stakeholders in risk, business and credit functions.
• Help ensure models are used effectively by supporting their implementation in production and contributing to documentation and governance processes.

Skills

Python

Data analysis

Statistics

Communication in English

Education

Master's degree in Statistics/Mathematics/Finance/Economics/Engineering

Tools

SAS

SQL

Job description

SEB in Stockholm is seeking a Quantitative Credit Risk Analyst to join the Non-Retail Credit Risk Modelling team. You will build and maintain core credit risk models and work across risk, business and credit functions to support decisions and regulatory compliance.

The role offers exposure to big data and regulatory-driven projects, with opportunities for professional growth within a collaborative, expert team. Swedish language is not required, but English communication is essential.