Analyst jobs in United Kingdom

About the Role:

We are looking for a Fraud Investigations Analyst to join our team and help investigate, detect, analyze, and mitigate fraudulent activities. This role requires a sharp, analytical mindset with strong investigative instincts. The ideal candidate has experience in fraud detection, risk assessment, and data analysis, with a working knowledge of SQL for querying and analyzing transactional data, this position will work closely with Customer Support and Data Team.

Responsibilities:

• Conduct in-depth investigations of suspicious clicks/installs, user activities, and fraud-related incidents.
• Conduct thorough investigations into alleged cases of unauthorized clicks or installs.
• Evaluate denied claims to validate a proper investigation was conducted and the correct decision made
• Complete daily operational tasks, including transactional fraud investigation, high risk transaction reviews, and response to customer inquiries.
• Analyze fraud patterns, identify anomalies, and escalate high-risk cases.
• Utilize SQL to extract, manipulate, and analyze data for fraud detection and reporting.
• Collaborate with customer support teams to mitigate fraudulent activities as the most common starting point of investigations.
• Contribute in developing and improving fraud detection rules, alerts, and monitoring strategies, leveraging both manual investigations and automated tools.
• Document findings, maintain detailed case records, and provide recommendations for fraud prevention.
• Stay updated on industry trends, fraud tactics, and emerging threats to continuously improve fraud detection strategies.
  
  
  

• 2+ years of experience in fraud investigation, risk analysis, or a similar investigative role.
• Knowledge in SQL to query and analyze transactional data (e.g., filtering, joins, aggregations).
• Strong analytical and problem-solving skills, with an investigative mindset.
• Experience with fraud detection tools, case management systems, or risk monitoring platforms is a plus.
• Ability to communicate findings effectively to internal stakeholders and law enforcement if required.
• Comfortable working with large datasets and identifying fraud patterns.
  
  
  

• Experience in gaming, or ad tech fraud investigations.
• Knowledge of Python or other scripting languages for fraud analysis.
• Understanding of machine learning-based fraud detection methods.