Data Analyst – Fraud

About This Opportunity

We are representing a confidential fintech organization seeking a Data Analyst - Fraud to join their London team. Our client processes significant transaction volumes and requires a skilled analyst to investigate fraud patterns, quantify impact, and drive data-informed mitigation strategies.

Responsibilities

• 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

What We're Looking For

• 4+ years proven experience as a Data Analyst in fraud, risk, or financial services
• Advanced proficiency with SQL - comfortable writing complex queries to investigate and slice data across large datasets
• Strong understanding of how fraud attacks work and how to think about mitigation trade-offs
• Proficiency with a BI tool (PowerBI, Looker, Tableau, Superset, Redash, or similar)
• Some exposure to Python or scripting for data manipulation and analysis
• Proficiency with spreadsheet tools (Microsoft Excel or Google Sheets)
• Strong stakeholder management skills with the ability to communicate findings clearly to fraud operations, product managers, engineers, and senior leadership
• Proactive mindset - you spot unusual patterns and investigate without being asked
• Comfort working in fast-paced, cross-functional teams where priorities shift quickly
• Excellent written and verbal communication skills
• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related field

Desirable skills include:

• Data governance experience
• Git or other version control tools

How We Work With You

Candidates apply directly through Get A Job.ai. Our talent team will screen your application and conduct an initial conversation. Qualified candidates are then submitted to our client for consideration. The client's process typically includes a technical take-home task (SQL test), technical interview with the hiring manager, and a behavioural interview with senior leadership. Please do not contact the client directly - all communication flows through our recruiting team to ensure the best experience for everyone involved.

Pay

Compensation details will be discussed during the screening process with our recruiting team.

Get A Job.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.