Job Description

What you'll do:
  • Analyze large, complex datasets to identify fraud patterns and emerging threats.

  • Design and write high-performance SQL queries for large-scale data analysis.

  • Use Python for data analysis, exploration, validation, and workflow automation.

  • Support the development, evaluation, and monitoring of fraud-detection models.

  • Build analytical tools, reports, and dashboards to track algorithm performance and fraud trends.

  • Collaborate with data scientists, engineers, and product managers on R&D initiatives.

  • Translate business and product questions into data-driven insights and recommendations.

    • What you have:

  • 3+ years of experience as a Data Analyst in a large-scale data or R&D environment.

  • B.Sc. in Industrial Engineering, Statistics, Mathematics, Computer Science, or a related field.

  • Strong proficiency in SQL and experience working with large-scale datasets.<...

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