Business Fraud Detection Analyst

Copenhagen
Posted 1 day, 14 hours ago
Data Science

About the role

Job summary

This role involves investigating and analyzing fraudulent behavior to enhance online trust and protect consumers and businesses. The Business Fraud Detection Analyst will explore new types of misuse, develop detection methods, and collaborate with cross-functional teams to improve fraud detection processes.

Qualifications

  • Over 2 years of experience in investigations and developing detection strategies.
  • Proven ability to identify and analyze fraudulent behavior.
  • Strong analytical skills with project management capabilities.
  • Proactive problem-solving mindset with solid business acumen.
  • Ability to work independently and collaboratively.

Responsibilities

  • Conduct deep investigations into emerging trends in misuse and fraud.
  • Use SQL and tools like Google BigQuery to analyze data and support investigations.
  • Audit and validate existing fraud detection engines to minimize false positives.
  • Design detection prompts and support the development of AI and automation technologies.
  • Collaborate with data science and engineering teams to enhance detection methods.
  • Take ownership of projects related to Business Detection and Operational Excellence.
  • Assist in developing and maintaining policies impacting Business Detection operations.

Skills

  • Strong analytical and problem-solving skills.
  • Ability to manage multiple tasks with a strategic mindset.

Education

  • Relevant experience in fraud detection or a related field is required.

Tools

  • Proficiency in SQL and experience with data analysis tools like Google BigQuery.
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