Junior Credit Risk Analyst - Data-Driven Lending

Nordiska; Stockholms kommun; On-site; SEK 420,000 - 540,000; Full time

Job summary

Nordiska is seeking an Analyst in the Credit Risk department to analyze data and develop credit models that influence lending strategies across the Nordics and Continental Europe. This role is ideal for a recent graduate or early career professional aiming to deepen expertise in quantitative analysis and credit risk modelling.

You will collect and structure data, develop scoring models, and validate them against regulatory frameworks while collaborating with IT and Data teams to implement models

Qualifications

• Degree in Statistics, Mathematics, Economics, Engineering or a related field.
• Up to 3 years of experience in credit risk analysis or a related role within financial services; recent graduates welcome.
• Foundation in quantitative methods and data analysis.
• Experience with risk models and analytical tools is an advantage.

Responsibilities

• Collect, structure and analyse data from internal and external sources.
• Develop and maintain credit scoring models and other credit risk parameters, such as loss given default (LGD).
• Perform quantitative analysis to inform improvements to credit strategies.
• Validate models against internal requirements and relevant regulatory frameworks, including IFRS 9 and CRR/Basel.
• Work closely with IT and Data teams to implement models in systems and processes.
• Conduct stress tests and scenario analyses.
• Support new product launches and expansion into new markets.

Skills

Analytical

Data analysis

Quantitative analysis

Stakeholder communication

Education

Degree in Statistics/Mathematics/Economics/Engineering

Tools

SAS

R

Python

Job description

Nordiska is seeking an Analyst in the Credit Risk department to analyze data and develop credit models that influence lending strategies across the Nordics and Continental Europe. This role is ideal for a recent graduate or early career professional aiming to deepen expertise in quantitative analysis and credit risk modelling.

You will collect and structure data, develop scoring models, and validate them against regulatory frameworks while collaborating with IT and Data teams to implement models