Credit Analyst

Resurs Bank AB; Helsingborgs kommun; On-site; SEK 45,000 - 60,000; Full time

Job summary

Resurs Bank AB is seeking a Credit Analyst for the Retail Finance B2C team in Helsingborg. The role focuses on understanding credits flow and evaluating lending strategies across the Nordics.

You will analyze data to optimize credit assessments, build decision materials, and work with central analytics. Candidates should have 3–5+ years in credit analysis, strong expertise in SAS and SQL, and proficiency in English.

Qualifications

• 3–5+ years of experience in credit analysis or a similar analytical role.
• Hands-on with SAS and/or SQL or a comparable programming language.
• Ability to structure complex work and communicate findings clearly.
• Proficiency in English, both written and spoken.

Responsibilities

• Evaluate how new credits flow in.
• Analyze lending strategies and their impact on risk and profitability.
• Build decision material for the Credit Committee.
• Run simulations and scenarios.
• Develop better methods for analysis structure.

Skills

Credit analysis

SAS

SQL

Analytical skills

Communication

Education

Degree in statistics, mathematics, economics, systems science, or equivalent

Tools

SAS

SQL

Job description

Get an idea of the role

As a Credit Analyst in the Retail Finance B2C team, you'll spend most of your time close to the data - understanding how credits flow works, how lending strategies perform, and where there are opportunities to do things better.

Resurs as a bank is committed to deliver outstanding banking and financial services throughout the Nordics. We are committed to maintain the highest standards of credit risk management and constantly enhancing our strategies for continued success. The role covers all of Resurs Nordics markets – Sweden, Norway, Denmark and Finland.

Key Responsibilities

The work spans both the analytical and the forward-looking. You'll evaluate how new credits flow in, how lending strategies affect risk and profitability, and where there are opportunities to optimize. You'll build decision material for the Credit Committee, run simulations and scenarios, and develop better methods for how analysis should be structured. You'll also explore new data sources that could improve credit assessments, and work together with the central analytics function on how decisions get made.

SAS and SQL are your main tools.

Qualifications

• 3–5 + years of experience in credit analysis or a similar analytical role
• Hands‑on with SAS and/or SQL or a comparable programming language
• Degree in statistics, mathematics, economics, systems science, or equivalent
• You can structure complex work and communicate findings clearly
• Proficiency in English, both written and spoken