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Fraud Analyst

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Remote from
UK, Spain, Germany+3 more, Portugal, Sweden, Denmark
Salary
Undisclosed
Employment
Full Time
Experience
Open level
Published
Apply before
15 Nov 2026
Listing views
15
Application actions
0
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AI Summary

The role, at a glance.

Pleo is hiring a Fraud Analyst for its Decision Intelligence team to improve fraud detection and financial-crime decisioning, particularly for card and transaction fraud. The role owns elements of the fraud-rule lifecycle, including proposal development, testing, deployment support, monitoring, tuning, documentation, and rollback. It partners closely with FraudOps, AML, Product, Engineering, Data, Compliance, and Legal teams to ensure controls are effective, explainable, and proportionate. The position is analytical and systems-oriented rather than a traditional alert-review or case-handling Fraud Operations role.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightThis role requires practical fraud-domain judgment alongside hands-on rule-engine or decisioning-platform experience. The analyst must use data to balance fraud loss prevention, false-positive rates, customer impact, governance, and operational workload while coordinating changes across multiple teams.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Highly competitive
$97,500
US market range (per year)$80k–$115k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer compensation is disclosed. For a full-time Fraud Analyst with decisioning-rule, payment-fraud, and SQL/data-analysis responsibilities, the estimated US market range is $80,000–$115,000 yearly, with an estimated midpoint of $97,500 yearly. The yearly cadence and estimates are inferred from the full-time professional role and US market conventions.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
Describe how you would evaluate whether a proposed fraud rule should be deployed.

I would first clarify the fraud scenario, target population, intended action, and expected risk reduction. I would assess historical data for prevalence, potential fraud capture, false-positive exposure, customer impact, and operational workload, then define success metrics and a controlled testing or rollout plan. I would document the rationale, approval path, monitoring thresholds, and rollback criteria before deployment.

How do you balance fraud prevention with customer experience when tuning a rule?

I look beyond gross alert volume and evaluate precision, recall, false-positive rate, fraud losses prevented, decline or friction impact, and downstream review capacity. If a rule catches fraud but creates excessive legitimate-customer friction, I would test segmentation, threshold changes, or additional signals to improve precision. The goal is proportionate control rather than simply maximizing blocks.

What metrics would you monitor after deploying a fraud rule?

I would monitor alert and action volumes, approval or decline rates, confirmed fraud rate, false positives, false negatives where measurable, loss value, review outcomes, and performance by customer, geography, transaction type, or risk segment. I would compare results against the pre-deployment baseline and expected impact. Sudden drift, performance degradation, or material customer impact would trigger investigation and possible rollback or tuning.

Give an example of how you would turn a FraudOps observation into a decisioning-rule proposal.

I would gather specific examples, identify the common behavioral or transactional signals, and validate that the pattern is statistically meaningful rather than anecdotal. I would write a proposal defining the target population, rule logic, thresholds, proposed action, exclusions, expected benefits, risks, testing approach, and monitoring plan. I would then review it with FraudOps and relevant stakeholders before implementation.

How would you ensure fraud-rule changes are traceable and governed?

I would maintain a change record covering the business rationale, rule version, owner, approvals, test evidence, deployment date, expected outcome, monitoring results, and rollback decision if needed. Changes should follow defined access controls and peer or stakeholder review appropriate to their risk level. Clear documentation makes controls auditable, repeatable, and less dependent on individual knowledge.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

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.

About the role

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.

What you’ll be doing

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 FraudOps 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 FraudOps, 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.

What we’re looking for

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 communication skills, with the ability to explain rule logic, rationale, risks, and expected outcomes clearly.

  • Comfort working cross-functionally with FraudOps, Product, Engineering, Compliance, and Data teams.

  • A structured mindset and appreciation for documentation, traceability, governance, and change control.

  • Fintech, banking, payments, spend management, or regulated financial services.

  • SQL or basic data analysis.

What success looks like

In your first 3 months, success would look like:

  • You understand Pleo’s fraud decisioning setup and can confidently support day-to-day rule operations.

  • Fraud rule requests are better structured, documented, and traceable.

  • Rule changes are supported by data, clear rationale, and expected impact.

  • Post-deployment monitoring is more consistent and visible.

  • FraudOps and DI have a stronger operating rhythm for proposing, reviewing, deploying, and tuning fraud controls.

Why join us?

This is a rare opportunity to help shape a growing decisioning function from the inside. You will not just be reviewing fraud alerts, you will help define how fraud detection logic is built, governed, monitored, and improved.

You will join a team that is building the foundations for more scalable, data-driven, and resilient financial crime decisioning. If you enjoy working at the intersection of fraud strategy, operations, data, systems, and product, this role will give you real ownership and impact.

Apply if this sounds like you

You are analytical, structured, curious, and comfortable challenging assumptions. You know that fraud rules are never “set and forget.” You understand the importance of balancing risk reduction, customer experience, operational workload, and governance.

Most importantly, you have worked with decisioning tools or rule-based risk systems before and want to help build a stronger fraud decisioning capability at scale.

The location

Please note: We can hire on a remote, hybrid or in-person set-up in any of the locations listed on the advert but you will need to be physically based in the country of your choice with a valid right to work. We are unable to offer visa sponsorship for this role in any of the listed locations.

Show me the benefits!

  • Your own Pleo card (no more out-of-pocket spending!)

  • Lunch is on us for your work days – enjoy catered meals or receive a lunch allowance based on your local office

  • Comprehensive private healthcare – depending on your location, coverage options include Vitality, Alan or Médis

  • We offer 25 days of holiday + your public holidays

  • For our Team, we offer both hybrid and fully remote working options

  • We use MyndUp to give our employees access to free mental health and well-being support with great success so far

  • Paid parental leave – we want to make sure that we’re supportive of families and help you feel that you don’t have to compromise your family due to work

About your application

  • English first. Since it’s our company language, please submit your application in English. You’ll be using it a lot if you join us.

  • A fair look for everyone. Our talent team reads every single application to ensure the process is fair. To keep things running smoothly, we only accept applications through our system—our support team can’t pass on calls or emails.

  • Diversity drives us. We can only reach our goals if our team reflects the world around us. That starts with you hitting apply, even if you don’t tick every single box. We encourage people from all backgrounds and experiences to join us.

  • Interview at your best. We want you to feel comfortable throughout the process. If you have any accessibility requirements or need a specific format, email belonging@pleo.io. We’ll design a process that works for you.

  • Your data is safe. When you apply, we process your personal data as a data processor. For more information on how Pleo processes personal data, read our Privacy Policy here.

  • Applying for multiple roles? Nothing is stopping you, and we assess every role independently. However, we do look for alignment, so make sure you can explain why your interest and experience are right for each specific role.

  • Reapplying. If you’re applying for the same role again, please wait six months from your last decision before hitting submit.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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