Senior Data Analyst, Transaction Monitoring & Fraud

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Let's get into the specifics. It's impossible to capture every nuance of a role - especially at a rapidly growing company like Mews - but if we had to distil it into a job description (which we do because this is a job description), it would be this:

This role sits inside the Fin Crime team at Mews Fintech, working at the intersection of fraud operations, data, and product. You will use data to improve how transaction monitoring works - finding the gaps in detection rules, reducing false positives, and helping the team focus its attention on the cases that actually matter. This is not a reporting role. The expectation is that you move from investigation to action: spot what is going wrong, understand why, and recommend practical changes that improve outcomes.

You will work with SQL and Python across large datasets, partnering with Fin Crime, Product, Compliance, and Data teams to improve controls, bring in new data sources, and support the development of internal scoring approaches and future machine learning use cases. The environment is fast-moving and not everything is perfectly defined - that is part of what makes the work interesting, and the right person will be energised by that rather than slowed by it.

• Review transaction monitoring and fraud rule performance to identify gaps, inefficiencies, and opportunities to improve detection
• Investigate trends, anomalies, and behavioural patterns across transactions, properties, and customer activity
• Improve how cases are prioritised by risk, reducing manual review volumes and increasing focus on high-risk activity
• Partner with Fin Crime, Product, Compliance, and Data teams to improve controls and bring in new data sources
• Work with data engineers to support better pipelines, data quality checks, and more reliable monitoring inputs
• Support the development of internal scoring approaches and future machine learning use cases as the function evolves
• Translate complex findings into clear recommendations that improve fraud prevention while minimising friction for legitimate customers

• Strong experience in fraud detection or transaction monitoring, with a track record of improving rules, controls, or detection approaches using data - not just describing what the data shows
• Advanced SQL skills and strong Python skills, with experience working across large datasets to identify patterns, outliers, and risk signals
• The ability to move from investigation to action: you do not stop at findings, you follow through to recommendations and work with stakeholders to implement them
• Comfort working cross-functionally with operational, technical, and compliance stakeholders
• You have integrated AI into how you work - using it consistently to get to conclusions faster, check your thinking, and improve the quality of your output
• Background in fintech, payments, buy now pay later, e-commerce, or transaction monitoring and fraud solution providers is strongly preferred

Spain
€41.500 - €54.100 EUR

Czechia
716 500 Kč - 927 000 Kč CZK

UK
£45,000 - £59,500 GBP

Salary ranges are provided in good faith and reflect current market conditions and internal pay structures. Final compensation may be adjusted based on funding, budget constraints, or exceptional candidate qualifications, but will remain within reasonable proximity to the stated range.

This salary disclosure is provided in compliance with applicable pay transparency legislation. We are committed to equal pay practices and prohibit salary history inquiries during our recruitment process.

If the location you're applying from wasn't originally advertised for this role, salary range information is available upon request at any point during the application/interview process - your recruiter will be able to help.

Our success is powered by our incredible people, supported by benefits that help them thrive.

• Unlimited paid holiday (yes, really)
• Participation in our company share program
• Paid parental leave (6 months fully paid for primary caregivers, 2 months for secondary, available after one year of service)
• An annual Learnin