Padmi

Fraud Analytics/Fraud Strategy Professional

Delhi NCRPosted 3 months ago
Data Science And StatisticsMid-levelFull Time; Regular
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As an experienced Fraud & Risk professional, you will play a crucial role in developing and implementing advanced fraud detection strategies, conducting detailed investigations, and providing valuable insights to enhance risk management processes. Key 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. Qualifications Required: - Masters degree in finance, Economics, Data Science, or related field. - Minimum of 4 years of work experience in fraud strategy. - Prefer team lead experience in your current role. - 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. Please note that candidates from the Banking Industry will be considered for this role. Profiles from Fraud Operations, KYC, or Fraud Investigation backgrounds will not be suitable. As an experienced Fraud & Risk professional, you will play a crucial role in developing and implementing advanced fraud detection strategies, conducting detailed investigations, and providing valuable insights to enhance risk management processes. Key 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. Qualifications Required: - Masters degree in finance, Economics, Data Science, or related field. - Minimum of 4 years of work experience in fraud strategy. - Prefer team lead experience in your current role. - 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. Please note that candidates from the Banking Industry will be considered for this role. Profiles from Fraud Operations, KYC, or Fraud Investigation backgrounds will not be suitable.

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