Sr Fraud Prevention Analyst

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Requirements:

• Proven experience in Fraud Prevention, with a focus on data analysis and risk mitigation strategy development.
• Experience in developing rules for fraud prevention engines, with the ability to create and optimize monitoring processes.
• Expertise in SQL and Python, with experience handling large data volumes and developing analytical solutions.
• Advanced knowledge of data visualization tools such as Databricks, Qlik Sense, and Tableau.
• Strong analytical skills, proactivity, and effective communication.
• Bachelor's degree in Technology, Engineering, Statistics, Mathematics, or related fields.

Responsibilities:

• Collaborate with various Fraud Prevention, Product (Fraud Squad), and Data teams to identify opportunities for continuous improvement.
• Conduct proactive data analysis to identify new threats and improvement opportunities, supporting the development and implementation of strategic and operational solutions to enhance fraud monitoring systems and processes continuously.
• Track, monitor, and regularly report on key performance indicators (KPIs), identifying anomalies and proposing solutions to mitigate risks.
• Contribute to the development of predictive models, rules, and monitoring strategies that directly impact the performance and effectiveness of fraud prevention operations.
• Update and validate operational reports and dashboards, ensuring the accuracy of reported information.