Fraud Analyst at : Remote - United Kingdom, Denmark, Germany, Portugal, Sweden, Spain

About Pleo

Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. At Pleo, we're changing that. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike - with a vision to help all businesses ‘go beyond’.

The word ‘Pleo’ actually means ‘more than you’d expect’, and living by that mantra has been the secret to our success over the last 10 years.

Now, we’re at a pivotal moment in our journey; every move we make has a direct impact on our 40,000+ customers, our business, and our collective success. We need people who take pride in uncovering customer needs, who turn complex problems into simple solutions, challenge the way things are done (respectfully), and always aim high. With great ambitions driving us forward, we can’t say we’ve got this whole thing figured out.

And frankly, that’s half the fun! What we can say is that we’re a driven, progressive, and, importantly, a kind bunch of 850+ people from over 100 nationalities, all committed to delivering the future of business spending, together.

We are looking for a Fraud Analyst to join Pleo’s Decision Intelligence team and help strengthen how we detect, prevent, monitor, and respond to fraud risk across our financial crime decisioning setup.

This is not a traditional Fraud Operations case-handling role. You will work closer to the decisioning layer: helping translate fraud patterns into rules, monitoring rule performance, supporting rule testing, reviewing alert behaviour, and making sure fraud controls remain effective, explainable, and proportionate.

You will join at an important stage as Pleo continues to mature its fraud and AML decisioning capability. The right person will help improve speed, resilience, and quality in how we create, test, deploy, monitor, and tune fraud rules.

You will help operate and improve Pleo’s fraud decisioning capability, with a focus on card fraud and related financial crime risk scenarios.

Your responsibilities will include:

• Supporting the end-to-end fraud rule lifecycle: from rule proposal and analysis through testing, deployment, monitoring, tuning, and rollback.
• Working directly in, or closely with, decisioning tools and rule engines to support fraud detection logic.
• Analysing fraud patterns, alert trends, false positives, false negatives, and rule performance.
• Translating Fraud Ops insights and stakeholder requests into clear, structured rule proposals.
• Helping assess whether new rules or threshold changes are justified by data.
• Monitoring post-deployment rule performance and identifying when rules need adjustment.
• Supporting daily operational requests related to fraud controls, while ensuring changes are traceable and well documented.
• Partnering with Fraud Ops, AML, Product, Engineering, Data, Compliance, and Legal to make sure decisioning changes are aligned and risk-aware.
• Maintaining clear documentation for fraud rules, rationale, expected impact, testing outcomes, and monitoring results.
• Helping reduce single points of failure by building repeatable processes and stronger business continuity around fraud decisioning.

We are looking for someone who combines fraud domain knowledge with practical experience working in a decisioning environment.

You should have:

• Experience as a Fraud Analyst, Risk Analyst, Fraud Strategy Analyst, Fraud Rules Analyst, Decisioning Analyst, or similar.
• Hands-on experience with a decisioning tool, fraud rules engine, risk platform, or internal decisioning system.
• Experience creating, testing, monitoring, or tuning fraud rules, thresholds, scenarios, or risk logic.
• Strong analytical skills and comfort working with data to assess rule performance and fraud patterns.
• Good understanding of fraud typologies, especially card fraud, transaction fraud, account misuse, or payment fraud.
• Ability to balance fraud prevention with customer impact and operational workload.
• Experience working with false positives and understanding that good fraud controls require continuous monitoring and tuning.
• Strong written…