Senior Data Analyst, Transaction Monitoring & Fraud

About the role

🌍 Can you help us change the world? It's true. At Mews, we dream big. As a Hotel Tech unicorn valued at $2.5b, we're propelling new-generation cloud technology within global hospitality. With our industry-leading property management solution , we're enabling the world's most revolutionary hospitality brands to accelerate their digital transformation. We're on the lookout for ambitious, tenacious and passionate people who want to join the next generation of innovators and disrupt the hospitality industry with us. Sound good so far? Keep reading and tumble down the Mews rabbit hole... 🐇 🧑🏻💻 About the role First things first: you want to know what you're actually applying for. It's impossible to capture every nuance of a role - especially at a rapidly growing company like Mews - but if we had to distill it down to a job description (which we do because this is a job description), it would be this: Mews is looking for a Senior Transaction Monitoring Fraud Data Analyst to join our FinCrime team within Fintech. This is a high-impact role for someone who can use data to improve fraud detection, reduce false positives, and help the team focus on the cases that matter most. You'll work at the intersection of fraud operations, analytics, and product, using SQL, Python, and strong problem solving to identify patterns, improve rules, and support better decision making. We're looking for someone who is hands-on, curious, and comfortable working in a fast-moving environment where not everything is perfectly defined. This is not a reporting role. We need someone who can dig into the data, spot what is going wrong, and recommend practical actions that improve outcomes. ✅ Your mission, should you choose to accept it: Analyse 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 Help improve how we prioritise cases by risk, with the goal of reducing manual review volumes and increasing focus on high-risk activity Partner closely with FinCrime, Product, Compliance, and Data teams to improve controls and bring in new data sources Work with data engineers and other technical teams 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 analysis into clear recommendations that improve fraud prevention while minimising friction for legitimate customers ✅ Your mission, should you choose to accept it: Own and run the ERM framework and risk appetite for Mews FS, including risk assessments, stress testing and Board reporting. Provide independent risk oversight on new products, major changes and strategic initiatives, and act as a key contact for DNB and other regulators on risk matters. Design and maintain a fit-for-purpose internal control framework and key controls across payments, safeguarding, liquidity, ICT, outsourcing and incident management. Lead risk-based testing, monitoring and follow-up on incidents, control weaknesses and audit findings. Provide pragmatic, business-oriented risk advice that keeps us compliant while enabling product and commercial teams to ship at pace. Build a strong risk culture through training, guidance and clear, plain-language communication across the organisation. 🤝️ You'll be a great fit if you bring a few of the below with you: Must-have experience Strong experience in fraud detection or transaction monitoring analytics Proven ability to improve rules, controls, or detection logic using data Advanced SQL skills Strong Python skills Experience working with large datasets to identify patterns, outliers, and risk signals Ability to move from analysis to action, not just reporting findings Confidence working cross-functionally with operational, technical, and compliance stakeholders We'd be especially interested in candidates from: fintech payments buy now pay later e-commerce transaction monitoring or fraud solution providers Location A = UK Location B = Spain Location C = Czechia Pay Transparency at Mews 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. Pay

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