Data Analyst - Fraud

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

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)