Transaction Fraud Analytics (Senior Fraud Risk Analyst)
About the position
Title: Senior Analyst/Associate Transaction Fraud Analytics (Senior Fraud Risk Analyst) Location: Atlanta, GA (Hybrid) Department: Risk Management/Fraud Prevention QualificationsResponsibilities: Develop and implement fraud detection models using advanced analytics and machine learning techniques. Monitor real-time transaction data to identify and flag potentially fraudulent activities. Conduct root cause analysis of fraud incidents and recommend preventive measures. Collaborate with cross-functional teams, including IT, Information Security, and Customer Service, to enhance fraud management processes. Design and maintain dashboards and reports for fraud trends, KPIs, and risk assessments. Ensure compliance with regulatory requirements and industry standards related to fraud prevention. Stay updated on emerging fraud trends, tools, and technologies to strengthen detection capabilities. Qualifications: Bachelor’s or master’s degree in data science, Statistics, Finance, or a related field. 5+ years of experience in fraud analytics, data analysis with at least 3 being in transaction fraud, preferable credit cards. Should have experience in working on Fiserv related systems. Proficiency in data analytics tools such as SQL, Python, R, or SAS. Experience with transaction monitoring systems and fraud detection platforms. Strong understanding of payment systems, credit card processing, and e-commerce fraud schemes. Excellent problem-solving, analytical, and communication skills. Needs experience with Advance Defense Edge
Responsibilities
• Develop and implement fraud detection models using advanced analytics and machine learning techniques.
• Monitor real-time transaction data to identify and flag potentially fraudulent activities.
• Conduct root cause analysis of fraud incidents and recommend preventive measures.
• Collaborate with cross-functional teams, including IT, Information Security, and Customer Service, to enhance fraud management processes.
• Design and maintain dashboards and reports for fraud trends, KPIs, and risk assessments.
• Ensure compliance with regulatory requirements and industry standards related to fraud prevention.
• Stay updated on emerging fraud trends, tools, and technologies to strengthen detection capabilities.
Requirements
• Bachelor’s or master’s degree in data science, Statistics, Finance, or a related field.
• 5+ years of experience in fraud analytics, data analysis with at least 3 being in transaction fraud, preferable credit cards.
• Should have experience in working on Fiserv related systems.
• Proficiency in data analytics tools such as SQL, Python, R, or SAS.
• Experience with transaction monitoring systems and fraud detection platforms.
• Strong understanding of payment systems, credit card processing, and e-commerce fraud schemes.
• Excellent problem-solving, analytical, and communication skills.
• Needs experience with Advance Defense Edge
Apply tot his job
Apply To this Job
Title: Senior Analyst/Associate Transaction Fraud Analytics (Senior Fraud Risk Analyst) Location: Atlanta, GA (Hybrid) Department: Risk Management/Fraud Prevention QualificationsResponsibilities: Develop and implement fraud detection models using advanced analytics and machine learning techniques. Monitor real-time transaction data to identify and flag potentially fraudulent activities. Conduct root cause analysis of fraud incidents and recommend preventive measures. Collaborate with cross-functional teams, including IT, Information Security, and Customer Service, to enhance fraud management processes. Design and maintain dashboards and reports for fraud trends, KPIs, and risk assessments. Ensure compliance with regulatory requirements and industry standards related to fraud prevention. Stay updated on emerging fraud trends, tools, and technologies to strengthen detection capabilities. Qualifications: Bachelor’s or master’s degree in data science, Statistics, Finance, or a related field. 5+ years of experience in fraud analytics, data analysis with at least 3 being in transaction fraud, preferable credit cards. Should have experience in working on Fiserv related systems. Proficiency in data analytics tools such as SQL, Python, R, or SAS. Experience with transaction monitoring systems and fraud detection platforms. Strong understanding of payment systems, credit card processing, and e-commerce fraud schemes. Excellent problem-solving, analytical, and communication skills. Needs experience with Advance Defense Edge
Responsibilities
• Develop and implement fraud detection models using advanced analytics and machine learning techniques.
• Monitor real-time transaction data to identify and flag potentially fraudulent activities.
• Conduct root cause analysis of fraud incidents and recommend preventive measures.
• Collaborate with cross-functional teams, including IT, Information Security, and Customer Service, to enhance fraud management processes.
• Design and maintain dashboards and reports for fraud trends, KPIs, and risk assessments.
• Ensure compliance with regulatory requirements and industry standards related to fraud prevention.
• Stay updated on emerging fraud trends, tools, and technologies to strengthen detection capabilities.
Requirements
• Bachelor’s or master’s degree in data science, Statistics, Finance, or a related field.
• 5+ years of experience in fraud analytics, data analysis with at least 3 being in transaction fraud, preferable credit cards.
• Should have experience in working on Fiserv related systems.
• Proficiency in data analytics tools such as SQL, Python, R, or SAS.
• Experience with transaction monitoring systems and fraud detection platforms.
• Strong understanding of payment systems, credit card processing, and e-commerce fraud schemes.
• Excellent problem-solving, analytical, and communication skills.
• Needs experience with Advance Defense Edge
Apply tot his job
Apply To this Job