Operational Risk Manager

Klarna; Greater London; Hybrid; GBP 75,000 - 110,000; Full time

Job summary

Klarna’s Operational Risk team is seeking a data-savvy analyst to drive risk management across a global product portfolio. You will analyze both structured and unstructured data, surface emerging patterns, and turn findings into actionable recommendations for business and risk teams.

You’ll collaborate with Product, Engineering, Data Science, and Operations to evolve risk controls, support independent testing, and contribute to regulatory reporting and governance, helping Klarna stay compliant

Qualifications

• 5+ years in fintech, banking, or consulting focusing on risk management.
• Experience running independent data analysis to support risk initiatives.
• Experience conducting control testing and process reviews in a risk/compliance function.
• Familiarity with regulatory requirements across markets Klarna operates in.

Responsibilities

• Analyze structured and unstructured data to monitor risk across Klarna's product portfolio.
• Turn analysis into concrete recommendations to support business and risk decisions.
• Run independent control testing and process reviews to evaluate risk frameworks.
• Contribute to regulatory reporting and governance processes.
• Collaborate with Product, Engineering, Data Science, and Operations to improve risk controls.

Skills

Risk management

Data analysis

Control testing

Regulatory reporting

Stakeholder communication

Education

Degree in Finance/Risk Management/Data Science

Tools

Data modeling

Analytics techniques

Automated decision systems

Job description

At Klarna, we're building an everyday finance network, helping over 120 million consumers across 26 countries save time and money, and worry less about their finances. Working here means taking on problems most companies never get to solve, and being hands‑on enough that the interesting part of the work lands with you, not someone else — you'll build with AI, not watch it happen.

This is the stretch zone. Come find out what you're capable of.

About The Role

Klarna's Operational Risk team covers a global product portfolio, and the calls made there rest on the quality of the underlying data and control testing — not just the frameworks on paper. You'll drive data-informed risk management across that portfolio: pulling signal out of structured and unstructured data, running independent control tests and process reviews, and turning what you find into decisions the business and risk functions can act on.

You'll work directly with stakeholders across Product, Engineering, Data Science, and Operations — feeding your findings into how Klarna's risk controls evolve and into the regulatory reporting and governance that keeps the bank compliant across markets.

What You'll Do

• You'll analyze structured and unstructured data to monitor risk performance and surface emerging patterns across Klarna's product portfolio.
• You'll turn your analysis into concrete recommendations that support business and risk decisions.
• You'll run independent control testing and process reviews to evaluate whether existing risk frameworks actually hold up.
• You'll contribute to regulatory reporting and governance processes.
• You'll work with Product, Engineering, Data Science, and Operations to identify and implement improvements to risk controls.

Who You Are

• You've spent 5+ years working in fintech, banking, or consulting, with a focus on risk management.
• You've run independent data analysis to support risk initiatives, not just consumed analysis someone else produced.
• You've conducted control testing and process reviews inside a risk or compliance function.
• You understand the regulatory requirements that apply to Klarna's markets and have supported risk reporting processes before.
• You communicate findings clearly to stakeholders outside risk — Product, Engineering, Data Science, and Operations — and adjust your explanation to the audience.

Bonus points for

• A relevant certification such as CFE or CRCMP.
• Experience working with data models, analytics techniques, or automated decision systems.
• A background in payments specifically, alongside broader financial services.
• A degree in Finance, Risk Management, Data Science, or a related field.

Things you should know before applying

• Working together: we value co‑located teams; most teams currently meet in the office 2–3 days per week, and this varies by team and can change over time.
• Non‑obvious backgrounds are welcome. Diversity of skills, perspectives and backgrounds is how we create, innovate, and disrupt like no other.
• Final compensation will be based on the candidate's qualifications, skills, and experience.