Fraud Analytics Analyst - Data Science

Job Description - Fraud Analytics Analyst Location: Jaipur Experience: 3-5 Years Role Overview: Model Development, insight generation, monitoring and Support fraud detection workflows including data analysis across banking transactions and customer behavior. Key Responsibilities - Analyze data to identify fraud patterns and anomalies - Develop and enhance fraud detection models (e.g., mule detection, transaction monitoring) - Perform data analysis and feature engineering using Python and SQL - Monitor model performance (accuracy, precision, recall, etc.) - Work with Fraud, Business, and IT teams to implement analytics solutions - Build reports and dashboards for fraud trends and insights Required Skills - Strong proficiency in Python and SQL - Experience in data analysis and data modeling Preferred - Experience in Banking / BFSI domain - Exposure to fraud risk / AML / transaction monitoring Key Competencies - Analytical thinking - Problem-solving skills - Stakeholder collaboration Job Description - Fraud Analytics Analyst Location: Jaipur Experience: 3-5 Years Role Overview: Model Development, insight generation, monitoring and Support fraud detection workflows including data analysis across banking transactions and customer behavior. Key Responsibilities - Analyze data to identify fraud patterns and anomalies - Develop and enhance fraud detection models (e.g., mule detection, transaction monitoring) - Perform data analysis and feature engineering using Python and SQL - Monitor model performance (accuracy, precision, recall, etc.) - Work with Fraud, Business, and IT teams to implement analytics solutions - Build reports and dashboards for fraud trends and insights Required Skills - Strong proficiency in Python and SQL - Experience in data analysis and data modeling Preferred - Experience in Banking / BFSI domain - Exposure to fraud risk / AML / transaction monitoring Key Competencies - Analytical thinking - Problem-solving skills - Stakeholder collaboration