Назад
3 дня назад

Senior Analyst - Consumer Credit Risk & Underwriting

18 539 - 24 946PLN
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Analyst - Consumer Credit Risk & Underwriting (SQL/Python/Fintech): Building and defending consumer credit underwriting policies for Klarna's Fair Financing product in Poland, integrating them with the Global Underwriting Platform with an accent on Polish bureau data, credit decisioning, and portfolio health. Focus on analyzing approval and repayment behavior, aligning purchase power and pre-qualification logic, and translating findings into actionable policy changes.

Location: Warsaw, Poland; hybrid work with most teams meeting in the office 2–3 days per week

Salary: PLN 18,539–24,946

Company

Klarna is building an everyday finance network serving more than 120 million consumers across 26 countries.

What you will do

  • Analyze Polish consumer credit risk using SQL, Python, and Polish credit bureau data.
  • Build and defend underwriting policies for longer-term regulated credit in Poland.
  • Bring Poland’s credit policy onto Klarna’s Global Underwriting Platform.
  • Align purchase power and pre-qualification logic across the Klarna App and One Card product.
  • Monitor bureau data quality and identify changes needed in sourcing or models.
  • Translate analytical findings into policy changes for underwriting, product, and regional teams.

Requirements

  • Experience in consumer credit risk, underwriting, or credit policy.
  • Proficiency in SQL and experience working with large, messy datasets.
  • Knowledge of credit bureau data, repayment behavior, and credit risk modeling.
  • Experience building underwriting or payment logic for markets where direct debit or local push payments are commonly used.
  • Ability to investigate ambiguous policy logic and identify root causes.
  • Working proficiency in Polish.

Nice to have

  • Degree in Finance, Economics, Data Science, Mathematics, or a related quantitative field.

Culture & Benefits

  • Co-located team environment with regular office collaboration.
  • Non-obvious professional backgrounds and diverse perspectives are welcomed.
  • The final role title may be Analyst or Data Scientist depending on experience.
  • English-language CV required.

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