Advanced Analytics Manager

Indus Insights And Analytical Services Private Lim Ited; Gurugram District; On-site; INR 1,000,000 - 2,000,000; Full time

Job summary

Indus Insights And Analytical Services Private Lim Ited is seeking a seasoned fraud analytics specialist to develop and implement advanced analytics models to identify fraud patterns, trends, and anomalies in financial data. You will collaborate with cross-functional teams to design risk mitigation strategies based on predictive insights, analyze large datasets, and provide recommendations for improvement.

The role demands 5-9 years of experience in fraud analytics and strong programming and

Qualifications

• 5-9 years of experience in fraud analytics, predictive analytics, or a related field.
• Strong proficiency in programming languages and ability to work with complex databases.
• Experience developing and implementing risk strategies using statistical modeling techniques (e.g., regression analysis).

Responsibilities

• Develop and implement advanced analytics models to identify fraud patterns, trends, and anomalies in financial data.
• Collaborate with cross-functional teams to design and execute risk mitigation strategies based on predictive insights.
• Conduct regular analysis of large datasets to detect potential fraudulent activities and provide recommendations for improvement.
• Provide expert guidance on risk analytics best practices to team members.

Skills

Fraud analytics

Predictive analytics

Statistical modeling

Tools

Programming languages

Databases

Job description

Roles and Responsibilities :

• Develop and implement advanced analytics models to identify fraud patterns, trends, and anomalies in financial data.
• Collaborate with cross-functional teams to design and execute risk mitigation strategies based on predictive insights.
• Conduct regular analysis of large datasets to detect potential fraudulent activities and provide recommendations for improvement.
• Provide expert guidance on risk analytics best practices to team members.

Job Requirements :

• 5-9 years of experience in fraud analytics, predictive analytics, or a related field.
• Strong proficiency in programming languages and ability to work with complex databases.
• Experience developing and implementing risk strategies using statistical modeling techniques (e.g., regression analysis).