Data Fraud Analyst

2 weeks ago


London, Greater London, United Kingdom ENGINEERINGUK Full time
Principal Fraud Data Analyst, Business Services

About the Business: LexisNexis Risk Solutions is a leading provider of risk assessment solutions. Our Business Services vertical offers a range of solutions focused on helping businesses drive revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions address complex problems in areas such as Anti-Money Laundering, Identity Authentication, Fraud, and Credit Risk mitigation.

About our Team: You will be part of a team that leverages global data from the largest real-time fraud detection platform to deliver valuable solutions for our enterprise customers.

About the Role: As a Principal Fraud Data Analyst, you will apply your expertise in fraud and large-scale data analysis to investigate suspicious behavior and provide insights that drive real-world impact. You will collaborate with customer-facing teams, external business leaders, and risk managers to develop world-class fraud solutions. You will work with a real-time platform analyzing billions of transactions per month for top companies in Financial Services, Insurance, e-Commerce, and On-Demand Services.

Key Responsibilities
  • Conduct in-depth reviews of complex fraud cases to identify trends and actionable insights, making clear recommendations on how our customers can use your findings to build trust and mitigate risks.
  • Act as a subject matter expert on fraud prevention and mitigation strategies, sharing best practices with fraud managers, risk analysts, and project managers.
  • Apply effective questioning skills to quickly understand the business and fraud requirements of our customers, delivering industry-leading presentations to external and executive audiences.
  • Collaborate with ThreatMetrix teams to support our common goals.
Requirements
  • Experience in the fraud, financial crime, security, and/or payments industry, especially with large organizations. Banking experience is a plus.
  • Demonstrate exceptional analytical skills, including proficiency in SQL and Python.
  • Show ability to work independently and proactively generate value-add opportunities.
  • Experience communicating fraud strategies in large organizations, ideally with consulting experience.
  • Experience working with large and small datasets to expose meaningful correlations.
  • Demonstrate a keen eye for detail, accuracy, and critical thinking skills with advanced judgment capability.
  • Fluency in more than one language spoken across EMEA is a bonus, but not essential.

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