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Fraud Data Analyst

2 months ago


London, Greater London, United Kingdom LexisNexis Risk Solutions UK Ltd. Company Full time

About the Role

As a Fraud Data Analyst, you'll leverage your deep understanding of fraud and large-scale data analysis to investigate suspicious activities and provide actionable insights. Your recommendations will directly impact real-world outcomes, shaping effective fraud prevention strategies for our clients.

You'll work with a cutting-edge platform analyzing billions of transactions monthly across diverse industries like Financial Services, Insurance, e-Commerce, and On-Demand Services. This unique perspective allows you to understand the intricacies of online behavior and identify emerging fraud trends.

Collaborating closely with customer-facing teams, risk managers, and business leaders, you'll contribute to developing world-class fraud solutions that protect billions in revenue.

Responsibilities
  • Conduct in-depth reviews of complex fraud cases, identifying patterns and actionable insights. Provide clear recommendations to clients on how to mitigate risks and build trust.
  • Serve as a subject matter expert on fraud prevention strategies, sharing your knowledge and best practices with colleagues and clients.
  • Effectively communicate with clients across various industries, understanding their unique business needs and fraud challenges. Share insights and collaborate on developing tailored solutions.
  • Utilize your analytical skills to craft compelling presentations for both technical and non-technical audiences, effectively communicating complex data findings.
  • Collaborate with internal teams, including Product Development, Engineering, Sales, and Marketing, to support shared goals and continuously improve fraud prevention solutions.
Requirements
  • Proven experience in the fraud, financial crime, security, or payments industry, particularly within large organizations. Experience in banking is highly desirable.
  • Exceptional analytical skills with proficiency in SQL and Python (or similar data analysis tools).
  • Ability to work independently and proactively identify opportunities for value creation.
  • Experience developing and communicating fraud strategies within large organizations, ideally with consulting experience. Familiarity with fraud management systems such as ThreatMetrix, Featurespace, Hunter, Iovation, BioCatch, Actimize Falcon, etc., is a plus.
  • Demonstrated ability to work with large datasets, uncovering meaningful correlations and insights. Experience in building external and executive reports.
  • Strong attention to detail, accuracy, and critical thinking skills with advanced judgment capabilities. Excellent multi-tasking and prioritization abilities, thriving in fast-paced environments with evolving priorities.
  • Fluency in additional languages spoken across EMEA is a valuable asset but not essential.