Roles and Responsibilities:
·Utilize data analytics tools and methodologies to conduct in-depth assessments and generate Fraud rules and reports on fraud trends (including Merchant Fraud, first-party and third-party fraud).
·Investigate suspicious activities and transactions, determine root causes and develop strategies and statistical models to prevent future occurrences.
·Develop Fraud rules on workflow systems
·Develop fraud reports for ongoing monitoring of fraud events.
·Generate reports and presentations outlining fraud risks, incidents, and mitigation strategies for management review.
·Collaborate with cross-functional teams, including risk management, operations, and compliance, to enhance fraud prevention measures.
·Monitor industry trends, regulatory changes, and best practices to continually enhance fraud prevention strategies.
Skills Required:
·Bachelor's degree in engineering, technology, computer science or related field.
·3+ years of proven data analytics experience in fraud prevention, risk management, or a related field
·Familiarity with fraud detection software, risk assessment methodologies, and regulatory compliance.
·Excellent communication and presentation skills with the ability to convey complex information clearly and concisely.
- ·Detail-oriented with a proactive mindset toward problem-solving and risk mitigation.
Roles and Responsibilities:
·Utilize data analytics tools and methodologies to conduct in-depth assessments and generate Fraud rules and reports on fraud trends (including Merchant Fraud, first-party and third-party fraud).
·Investigate suspicious activities and transactions, determine root causes and develop strategies and statistical models to prevent future occurrences.
·Develop Fraud rules on workflow systems
·Develop fraud reports for ongoing monitoring of fraud events.
·Generate reports and presentations outlining fraud risks, incidents, and mitigation strategies for management review.
·Collaborate with cross-functional teams, including risk management, operations, and compliance, to enhance fraud prevention measures.
·Monitor industry trends, regulatory changes, and best practices to continually enhance fraud prevention strategies.
Skills Required:
·Bachelor's degree in engineering, technology, computer science or related field.
·3+ years of proven data analytics experience in fraud prevention, risk management, or a related field
·Familiarity with fraud detection software, risk assessment methodologies, and regulatory compliance.
·Excellent communication and presentation skills with the ability to convey complex information clearly and concisely.
- ·Detail-oriented with a proactive mindset toward problem-solving and risk mitigation.