Roles and Responsibilities:

• Design, develop, and deploy machine learning models to detect and prevent fraudulent activities, such as Merchant Fraud, transactional fraud, account takeover, and identity theft
• Work with large datasets to identify patterns, trends, and anomalies that may indicate fraudulent activity
• Utilize data analytics tools and methodologies to conduct in-depth assessments and generate Fraud rules and reports on fraud trends (including first-party and third-party fraud).
• 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.
• Strong experience in SQL or Python
• 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.
• Ability to work collaboratively in a cross-functional team environment.