On-site
Full Time
Experience: 3 - 7 Years Shift timing: 1.00 pm to 10.00 pm Notice Period: immediate to 20 Days Job Description, 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. Utilise 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 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. Show more Show less
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