Transaction Fraud Analytics (Senior Fraud Risk Analyst)

Posted 4 Days Ago
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30328, Atlanta, GA, USA
In-Office
Senior level
Fintech • Financial Services
Everyday People. Everyday Financial Solutions.
The Role
Develop and deploy fraud detection models using analytics and machine learning, monitor real-time transactions, investigate incidents, design dashboards and reports, collaborate with IT and security, ensure regulatory compliance, and recommend preventive measures against payment and e-commerce fraud.
Summary Generated by Built In

Job Description 

  • Title: Senior Analyst/Associate Transaction Fraud Analytics (Senior Fraud Risk Analyst)  
  • Location: Atlanta, GA (Hybrid)
  • Department: Risk Management/Fraud Prevention 
Qualifications

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. 
  •  Needs experience with Advance Defense Edge

Skills Required

  • Bachelor's or master's degree in Data Science, Statistics, Finance, or related field
  • 5+ years of experience in fraud analytics, with at least 3 years in transaction fraud (preferably credit cards)
  • Experience 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
  • Experience developing and implementing fraud detection models using advanced analytics and machine learning techniques
  • Experience with Advance Defense Edge
  • Excellent problem-solving, analytical, and communication skills
  • Knowledge of regulatory requirements and industry standards related to fraud prevention
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The Company
Atlanta, Georgia
526 Employees
Year Founded: 1996

What We Do

Empowering Better Financial Outcomes for Everyday Americans Atlanticus™ technology enables bank, retail, and healthcare partners to offer more inclusive financial services to everyday Americans through the use of proprietary technology and analytics. We apply the experience gained and infrastructure built from servicing over 20 million customers and $48 billion in consumer loans over more than 25 years of operating history to support lenders that originate a range of consumer loan products. These products include retail and healthcare private label credit and general purpose credit cards marketed through our omnichannel platform, including retail point-of-sale, healthcare point-of-care, direct mail solicitation, internet-based marketing, and partnerships with third parties. Additionally, through our Auto Finance subsidiary, Atlanticus serves the individual needs of automotive dealers and automotive non-prime financial organizations with multiple financing and service programs.

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