Responsibilities:

  • Develop and implement advanced fraud detection models and strategies.
  • Conduct thorough investigations on complex fraud cases.
  • Analyze large datasets to identify trends and anomalies.
  • Provide insights and recommendations to improve fraud prevention measures.
  • Collaborate with cross-functional teams to enhance risk management processes.
  • Mentor junior analysts and provide guidance on best practices.
  • Stay updated with emerging fraud trends and technologies.

Requirements:

  • Bachelor's or master’s degree in finance, Economics, Data Science, or related field.
  • Proven experience in fraud detection and risk management.
  • Strong analytical and problem-solving skills.
  • Proficiency in data analysis tools (e.g., SQL, Python, R).
  • Excellent communication and leadership skills.
  • Ability to work independently and as part of a team.
  • Knowledge of industry regulations and compliance standards.

Graduate

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