Назад
3 дня назад

Operational Risk Manager (Fintech)

71 559 - 89 764GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
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
Operational Risk Manager (Fintech): Driving data-informed operational risk management across Klarna's global product portfolio with an accent on structured and unstructured data analysis, control testing, process reviews, and regulatory reporting. Focus on identifying emerging risk patterns, translating findings into business decisions, and improving controls with Product, Engineering, Data Science, and Operations.

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

Salary: £71,559–£89,764 per year

Company

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

What you will do

  • Analyze structured and unstructured data to monitor risk performance and identify emerging patterns across the product portfolio.
  • Translate analysis into recommendations supporting business and risk decisions.
  • Run independent control testing and process reviews to assess the effectiveness of risk frameworks.
  • Contribute to regulatory reporting and governance processes.
  • Collaborate with Product, Engineering, Data Science, and Operations to improve risk controls.

Requirements

  • 5+ years of experience in fintech, banking, or consulting with a focus on risk management.
  • Experience conducting independent data analysis for risk initiatives.
  • Experience with control testing and process reviews in a risk or compliance function.
  • Understanding of regulatory requirements in Klarna’s markets and prior involvement in risk reporting.
  • Ability to communicate risk findings clearly to stakeholders across Product, Engineering, Data Science, and Operations.
  • CV submitted in English.

Nice to have

  • Relevant certification such as CFE or CRCMP.
  • Experience with data models, analytics techniques, or automated decision systems.
  • Payments experience and a background in financial services.
  • Degree in Finance, Risk Management, Data Science, or a related field.

Culture & Benefits

  • Co-located collaboration is valued, with office attendance varying by team and potentially changing over time.
  • Non-obvious backgrounds and diverse perspectives are welcomed.
  • Final compensation depends on qualifications, skills, and experience.

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