Fraud Analytics

3 - 7 years

0 Lacs

Posted:5 days ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

As a Data Analyst specializing in Fraud Prevention, you will be responsible for utilizing 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. You will investigate suspicious activities and transactions, determine root causes, and develop strategies and statistical models to prevent future occurrences. Your role will also involve developing Fraud rules on workflow systems and generating fraud reports for ongoing monitoring of fraud events. Additionally, you will be expected to generate reports and presentations outlining fraud risks, incidents, and mitigation strategies for management review. Collaboration with cross-functional teams, including risk management, operations, and compliance, to enhance fraud prevention measures will be a key aspect of your responsibilities. Staying updated on industry trends, regulatory changes, and best practices to continually enhance fraud prevention strategies will also be part of your role. Key Responsibilities: - Utilize data analytics tools and methodologies for conducting in-depth assessments and generating Fraud rules and reports on fraud trends - Investigate suspicious activities and transactions, determine root causes, and develop strategies and statistical models for preventing future occurrences - Develop Fraud rules on workflow systems - Generate fraud reports for ongoing monitoring of fraud events - Create reports and presentations outlining fraud risks, incidents, and mitigation strategies for management review - Collaborate with cross-functional teams to enhance fraud prevention measures - Monitor industry trends, regulatory changes, and best practices to continually improve fraud prevention strategies Qualifications Required: - Bachelor's degree in engineering, technology, computer science, or a 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 - Ability to work collaboratively in a cross-functional team environment,

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