Data Analyst

2 days ago


Melbourne, Victoria, Australia RELX Full time
About the Role

You will be part of a team of analysts using global data from the largest real-time fraud detection platform to optimize solutions for our enterprise customers.

This role requires experience with data analysis to investigate suspicious behavior and provide new insights to customers, leading to immediate real-world impact in the form of fewer scam victims, lower consumer friction, reduced fraud losses, and increased customer profitability.

As a Fraud Data Analyst, you will leverage 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. You'll collaborate with internal product and engineering teams, customer-facing account teams, and external business leaders and risk managers to build comprehensive policies that protect billions in revenue.

Responsibilities
  • Conducting in-depth reviews of complex fraud cases, identifying trends and actionable insights, documenting your findings, and making clear recommendations on how to mitigate risk.
  • Using SQL and Python skills to increase our customers' fraud capture while reducing false positives, conducting offline analysis of customer data to expose patterns and statistically tune policies.
  • Building dashboards & reports to track value delivered by the solution, increasing focus on more bespoke external-facing dashboards that surface the most important insights to each customer.
  • Delivering industry-leading presentations for external and executive audiences with a non-technical background.
  • Scoping, planning, and delivering customer-focused projects including root cause analysis, reports, dashboards, rule mining, and health checks.


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