3 дня назад
Senior Analyst - Consumer Credit Risk & Underwriting
642 650 - 719 768DKK
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Analyst - Consumer Credit Risk & Underwriting (Fintech): Building and implementing Danish consumer credit underwriting policies on Klarna's Global Underwriting Platform with an accent on credit bureau data, approval decisions, and portfolio health. Focus on analyzing large datasets, monitoring bureau and model quality, and translating risk findings into actionable policy changes.
Location: Copenhagen, Denmark; teams typically meet in the office 2–3 days per week
Salary: kr 642,650–kr 719,768 DKK per year
Company
Klarna builds an everyday finance network serving consumers across multiple countries, with products supported by AI and global underwriting infrastructure.
What you will do
- Analyze Danish consumer credit risk using SQL and credit bureau data.
- Build and defend underwriting policies that determine credit eligibility and terms.
- Bring Denmark’s credit policy onto Klarna’s Global Underwriting Platform.
- Align purchase power and pre-qualification logic across the App and One Card products.
- Monitor bureau data and model performance, identifying sourcing and quality issues.
- Translate analysis into policy changes for underwriting, product, risk, and regional teams.
Requirements
- Experience in consumer credit risk, underwriting, or credit policy.
- Proficiency in SQL and experience working with large, complex datasets.
- Strong understanding of credit bureau data, repayment behavior, and credit risk modeling.
- Ability to investigate ambiguous or inconsistent policy logic and identify root causes.
- Ability to turn data findings into actionable policy changes.
- Availability to work in the Copenhagen office 2–3 days per week, depending on team needs.
Nice to have
- Degree in Finance, Economics, Data Science, Mathematics, or a related quantitative field.
Culture & Benefits
- Collaborative, co-located team environment.
- Opportunities to work on complex credit decisioning problems.
- Non-traditional professional backgrounds are welcome.
- The final role may be titled Analyst or Data Scientist depending on experience.
- CV must be submitted in English.
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