Fraud Analyst

Fraud Analyst

Location: Birmingham Salary: £37k

This role brings an exciting opportunity for the right candidate to join our growing Fraud Team. Reporting into the Fraud Manager, we are looking for an experienced data analyst to provide insights and track new and emerging trends to protect Cross Country’s revenue through the prevention and detection of fraudulent activity across our network.

Purpose of job

The purpose of the Fraud Data Analyst is to proactively explore fraud‑related risks to Cross Country through effective data analysis. Using a variety of data sources, the postholder will identify fraudulent activity across the network, including both individual cases and wider trends or patterns.

The role will support the Revenue Protection and Anti‑Fraud strategy by providing insight into revenue risks, identifying opportunities for intervention, and evidencing the impact of anti‑fraud initiatives.

• Support the Revenue Protection and Fraud team in the delivery of the Revenue Protection and Anti‑Fraud strategy.
• Use analytics to identify fraud risk and support the mitigation of revenue loss.
• Evidence revenue recovered or generated as a result of analytical insight and recommendations.
• Manipulate and analyse complex datasets from multiple sources.
• Identify fraudulent travel behaviour by individuals and develop subject profiles for investigation.
• Identify routes, locations, and processes at risk from fraudulent activity.
• Highlight and quantify weaknesses in current processes and controls.
• Produce insightful, accurate, and easy‑to‑interpret reporting for Senior Managers and wider stakeholders.
• Work closely with internal departments and external partners, including other Train Operating Companies, to support fraud prevention initiatives.
• Keep up to date with industry trends, emerging threats, and analytical techniques.
• Undertake any other duties that are appropriate to this role, including ad‑hoc analysis as required.

• Strong analytical and problem‑solving skills.
• Experience of working with complex datasets and drawing meaningful insights.
• Ability to communicate findings clearly to a range of stakeholders.
• Experience in reporting, data visualisation, or dashboard creation.
• Good working knowledge of Microsoft Office, particularly Excel.
• Ability to manage workload and prioritise effectively.
• High level of attention to detail and accuracy.
• Ability to work independently and as part of a team.

• Experience with in fraud, revenue protection, or a regulated environment.
• Knowledge of data analysis tools (e.g. SQL, VBA, Power BI).
• Understanding of fraud patterns and risk indicators.
• Experience working with transport or rail industry data.

We acknowledge the importance of our people’s diverse experiences, talents and cultures. Embracing diversity and creating inclusion is a key component of our talent strategy. The creation of a diverse, inclusive workforce is central to our ability to unlock potential and enhance our success.