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# Data Analyst - Fraud

- **Company:** Moniepoint
- **Location:** London, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Big Data, Spreadsheets, Data Governance, Database Queries, Python (Programming Language), Power BI, SQL Databases, Tableau (Software), Data Processing, Scripting, Git, Information Technology, Looker Analytics, Software Version Control
- **Published:** August 4, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=f8a26ddfa3efce8b

## About the Role

* Proven experience as a Data Analyst (Fraud), or a similar role (4+ years, can be made up for with accomplishments)
 * Strong problem solving skills
 * Advanced proficiency with SQL. you're comfortable writing complex queries to investigate and slice data across large datasets
 * Experience in fraud, risk, or financial services; you understand how fraud attacks work and how to think about mitigation trade-offs
 * A proactive mindset - you don't wait to be asked; you spot something unusual and you dig in
 * Some exposure to Python or scripting for data manipulation and analysis
 * Proficiency with a BI tool (PowerBI, Looker, Tableau, Superset, Redash, or any other alternative)
 * Strong stakeholder management skills; you can communicate findings clearly to fraud operations, product managers, engineers, and senior leadership - and you know how to influence decisions with data across all of them.
 * Comfort working in fast-paced, cross-functional teams where priorities shift quickly.
 * Proficiency with a spreadsheet tool (Microsoft Excel or Google Sheets, or any other alternative)
 * Enjoy autonomy and a flat structure: we have millions of customers and a flat hierarchy so any individual can have an outsized impact
 * Excellent written and verbal communication skills
 * A drive to learn and master new technologies and techniques
 * A bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or any other related field

Experience with the following would be a plus

 * Data governance
 * Python or any other scripting language
 * Git or any other version control tool

## Description

* Investigate fraud attacks, quantify their impact, and present clear findings that drive prioritisation and response
 * Propose and refine rule-based mitigations, working with fraud operations and engineering to see them through to implementation
 * Build and maintain reporting and dashboards to monitor fraud trends, rule performance, and key operational metrics
 * Work closely with fraud operations, data scientists, engineers, and product managers to ensure analytical insights translate into action
 * Proactively identify emerging patterns and flag risks before they escalate


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