Senior Data Analyst, Transaction Monitoring & Fraud
mewssystemsHelp make the world more hospitable
The hospitality industry is uniquely human, and it deserves technology that’s just as inspiring as the people behind it. At Mews, we’re transforming the industry with a platform that helps hotels run smarter, move faster and create better guest experiences.
You’ll work with smart, curious people who care deeply about what they do. You’ll have autonomy and the trust to make good decisions and move quickly. And you’ll enjoy a real sense of purpose as you see the impact of what we’re building.
If you’re motivated by ownership, curiosity and meaningful impact, and are driven to deliver consistent high performance, you’ll feel at home here.
About the role
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 FinCrime 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 FinCrime, 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.
What you would do
- Review transaction monitoring and fraud rule performance to identify gaps, inefficiencies, and opportunities to improve detection
Opens the company's application page
Listed via
AArbeitnow
arbeitnow.com
Similar roles
Design & Tech
Related reads from TCHNX
The Rise of AI-Assisted Coding: Are Developer Tools Becoming Too Smart?
GitHub Copilot and similar AI tools are reshaping how developers write code. But as these assistants grow more capable, questions emerge about code quality, security, and what it means to learn programming.
The Quiet Revolution in Local-First Software
As major platforms face outages and data breaches, a new generation of developers is building applications that prioritise local data storage and peer-to-peer sync, challenging the cloud-first orthodoxy that's dominated tech for two decades.
The Quiet Revolution in Edge AI: Why Your Next Computer Might Not Need the Cloud
As neural processing units become standard in consumer devices, we're witnessing a fundamental shift in how AI applications work. Local processing is no longer a fallback; it's becoming the preferred architecture.