Job
Description
As a Data Analytics Specialist focusing on Fraud Prevention, your role will involve utilizing data analytics tools and methodologies to conduct detailed assessments and generate fraud rules and reports on various fraud trends, including Merchant Fraud, first-party, and third-party fraud. You will be responsible for investigating suspicious activities and transactions, identifying root causes, and devising strategies and statistical models to prevent future occurrences. Your duties will also include developing fraud rules on workflow systems, creating fraud reports for ongoing monitoring, and preparing reports and presentations outlining fraud risks, incidents, and mitigation strategies for management review. Additionally, you will collaborate with cross-functional teams such as risk management, operations, and compliance to enhance fraud prevention measures. It will be essential for you to stay updated on industry trends, regulatory changes, and best practices to continually strengthen fraud prevention strategies. Key Responsibilities: - Utilize data analytics tools and methodologies to conduct assessments and generate fraud rules and reports - Investigate suspicious activities and transactions, determine root causes, and develop prevention strategies - Develop fraud rules on workflow systems and generate reports for ongoing monitoring - Prepare reports and presentations outlining fraud risks, incidents, and mitigation strategies - Collaborate with cross-functional teams to enhance fraud prevention measures - Monitor industry trends, regulatory changes, and best practices for continuous improvement Qualifications Required: - Bachelor's degree in engineering, technology, computer science, or a related field - 10+ 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 towards problem-solving and risk mitigation - Ability to work collaboratively in a cross-functional team environment As a Data Analytics Specialist focusing on Fraud Prevention, your role will involve utilizing data analytics tools and methodologies to conduct detailed assessments and generate fraud rules and reports on various fraud trends, including Merchant Fraud, first-party, and third-party fraud. You will be responsible for investigating suspicious activities and transactions, identifying root causes, and devising strategies and statistical models to prevent future occurrences. Your duties will also include developing fraud rules on workflow systems, creating fraud reports for ongoing monitoring, and preparing reports and presentations outlining fraud risks, incidents, and mitigation strategies for management review. Additionally, you will collaborate with cross-functional teams such as risk management, operations, and compliance to enhance fraud prevention measures. It will be essential for you to stay updated on industry trends, regulatory changes, and best practices to continually strengthen fraud prevention strategies. Key Responsibilities: - Utilize data analytics tools and methodologies to conduct assessments and generate fraud rules and reports - Investigate suspicious activities and transactions, determine root causes, and develop prevention strategies - Develop fraud rules on workflow systems and generate reports for ongoing monitoring - Prepare reports and presentations outlining fraud risks, incidents, and mitigation strategies - Collaborate with cross-functional teams to enhance fraud prevention measures - Monitor industry trends, regulatory changes, and best practices for continuous improvement Qualifications Required: - Bachelor's degree in engineering, technology, computer science, or a related field - 10+ 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 towards problem-solving and risk mitigation - Ability to work collaboratively in a cross-functional team environment