Fraud Data Analyst (Russian-speaking), Business Services (Hybrid)
LexisNexis
Fraud Data Analyst (Russian-speaking)About our Team: You will be part of a team of analysts using global data from the largest real-time fraud detection platform to optimise solutions for our enterprise customers.About the Role: You will use your experience with data analysis to investigate suspicious behaviour. This will provide new insights to customers leading to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased customer profitability.You’ll 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. These tools will allow you to attain a unique perspective of the Internet and every persona connected to it. You’ll be continually collaborating with internal product and engineering teams, customer-facing account teams, and external business leaders and risk managers. The comprehensive policy you build will go head-to-head against some of the most motivated attackers in the world to protect billions in revenue.ResponsibilitiesConducting in-depth reviews of complex fraud cases. identifying trends and actionable insights, documenting your findings and making clear recommendations on how to mitigate riskUsing your 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. Produce executive-level reports and own the end-to-end delivery of your recommendations by writing rules into the ThreatMetrix® decision engineBuilding 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 customerUsing your excellent attention to detail and ability to craft a story through data. Delivering industry-leading presentations for external and executive audiences with non-technical backgroundScoping, planning, and delivering customer-focused projects including root cause analysis, reports, dashboards, rule mining and health checks. Demonstrate a professional and customer-centric persona when interacting directly with customers via phone, e-mail, and chatCollaborating with ThreatMetrix teams. Including Products, Engineering, Sales and other Professional Services colleagues around the world to continually redefine best practicesRequirementsDemonstrate knowledge of Python and SQL (BI tools such as SuperSet, Tableau or PowerBI is a bonus)Have attention to detail to ensure quality of project delivery for customers stands out amongst industry peersTrack record of building external and executive reports and presentationsInterest or experience in consulting within the risk, fraud or payments industry. Experience of working with fraud system management, such as ThreatMetrix, Emailage, Featurespace, Hunter, Iovation, BioCatch, Actimize Falcon, etcHave extensive multi-tasking and prioritization skills. Needs to excel in fast paced environment with frequently changing prioritiesDemonstrate fluency in both English and Russian is essential for this role. Any other languages spoken across EMEA are a bonus.Learn more about the LexisNexis Risk team and how we workAt LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 30 diversity employee networks globally and prioritize inclusive leadership and equitable processes as part of our culture. Our aim is for every employee to be the best version of themselves. We would actively welcome applications from candidates of diverse backgrounds and underrepresented groups.We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: .Please read our .
London
Thu, 07 Nov 2024 23:28:20 GMT
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