Atlanticus
Senior Analyst/Associate Transaction Fraud Analytics (Senior Fraud Risk Analyst)
Atlanta, GA (Hybrid)
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.
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.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Finance and Sales
Benefits
Medical insurance
Vision insurance
401(k)
Paid maternity leave
Paid paternity leave
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Atlanta, GA (Hybrid)
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.
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.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Finance and Sales
Benefits
Medical insurance
Vision insurance
401(k)
Paid maternity leave
Paid paternity leave
#J-18808-Ljbffr