Operational Risk Manager - Analytics

Klarna; Stockholms kommun; Hybrid; SEK 700,000 - 1,000,000; Full time

Job summary

Klarna is seeking an experienced Risk Data Analyst for its Operational Risk team. You will drive data-informed risk management across a global product portfolio, turning insights into decisions that shape risk controls and governance.

You will work with Product, Engineering, Data Science, and Operations to surface patterns, run control tests, and contribute to regulatory reporting across markets.

Qualifications

• 5+ years in fintech, banking or consulting focusing on risk management.
• Experience performing independent data analyses to support risk initiatives.
• Experience conducting control testing and process reviews in risk/compliance.
• Understanding regulatory requirements across Klarna's markets and supporting risk reporting.
• Ability to present findings clearly to non-risk stakeholders.

Responsibilities

• Analyze structured and unstructured data to monitor risk performance and surface patterns 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

Data analysis

Risk management

Control testing

Regulatory reporting

Stakeholder communication

Education

Finance/Data Science/Related field degree

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.