Data Analyst

7 days ago

London, Greater London, United Kingdom LexisNexis Risk Solutions Full time
About the Business

LexisNexis Risk Solutions is a leading provider of risk assessment solutions, serving businesses of all sizes. Our solutions help organizations drive revenue growth, maximize operational efficiencies, and improve customer experience.

We specialize in Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation, and Customer Data Management.

About the Role

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

As a Data Analyst, you will apply your expertise in fraud and large-scale data analysis to investigate suspicious behavior and provide insights that lead to immediate real-world impact.

You will work with a real-time platform analyzing billions of transactions per month for some of the largest companies operating in Financial Services, Insurance, e-Commerce, and On-Demand Services.

Responsibilities
  • Conduct in-depth reviews of complex fraud cases to identify trends and actionable insights.
  • Make clear recommendations on how our customers can use your findings to build trust and mitigate risks.
  • Act as a go-to source of knowledge and inspiration for how to outsmart fraudsters in a range of settings.
  • Apply effective questioning skills to quickly understand the business and fraud requirements of our customers.
  • Share best practices with fraud managers, risk analysts, and project managers for combating consistent and emerging security threats.
  • Deliver industry-leading presentations to external and executive audiences with non-technical backgrounds.
  • Collaborate with ThreatMetrix teams to support our common goals.
Requirements
  • Experience in the fraud, financial crime, security, and/or payments industry, especially with very large organizations.
  • Demonstrate exceptional analytical skills (SQL, Python, etc.).
  • Show ability to work independently and proactively generate value-add opportunities.
  • Experience of working on and communicating fraud strategies in large organizations.
  • Experience working with large and small datasets intuitively exposing 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.

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