Fraud Analytics
Location: NYC NJ Westlake TX Merrimack NJ (Hybrid)
FTE/ Permanent
We Operationalize Data Analytics & AI For Global Enterprises. We leverage our unique people-process-tech framework to build the best-of-breed data analytics & AI solutions. By operationalizing this solution into your core workflow we deliver real-world measurable impact and better ROIs through a combination of higher efficiency elevated experiences and enhanced revenues.
Roles and Responsibilities:
Develop implement and monitor fraud detection rules for Debit and Credit Cards for US market
Investigate suspicious activities and transactions determine root causes and develop strategies and statistical models to prevent future occurrences.
Develop fraud reports for ongoing monitoring of fraud events.
Generate reports and presentations outlining fraud risks incidents and mitigation strategies for management review
Collaborate with cross-functional teams including risk management operations and compliance to enhance fraud prevention measures.
Monitor industry trends regulatory changes and best practices to continually enhance fraud prevention strategies
Skills Required:
Bachelors degree in engineering technology computer science or related field.
5 years of proven data analytics experience in fraud management for Debit and Credit cards in US market
Experience in designing strategies for fraud management in areas of Account takeover (ATO) card enumeration attacks stolen card credentials etc.
Preferred:
Familiarity with fraud rule engines such as AdvanceDefense/DefenseEdge 3D
Fraud Analytics Location: NYC NJ Westlake TX Merrimack NJ (Hybrid) FTE/ Permanent We Operationalize Data Analytics & AI For Global Enterprises. We leverage our unique people-process-tech framework to build the best-of-breed data analytics & AI solutions. By operationalizing this solution into ...
Fraud Analytics
Location: NYC NJ Westlake TX Merrimack NJ (Hybrid)
FTE/ Permanent
We Operationalize Data Analytics & AI For Global Enterprises. We leverage our unique people-process-tech framework to build the best-of-breed data analytics & AI solutions. By operationalizing this solution into your core workflow we deliver real-world measurable impact and better ROIs through a combination of higher efficiency elevated experiences and enhanced revenues.
Roles and Responsibilities:
Develop implement and monitor fraud detection rules for Debit and Credit Cards for US market
Investigate suspicious activities and transactions determine root causes and develop strategies and statistical models to prevent future occurrences.
Develop fraud reports for ongoing monitoring of fraud events.
Generate reports and presentations outlining fraud risks incidents and mitigation strategies for management review
Collaborate with cross-functional teams including risk management operations and compliance to enhance fraud prevention measures.
Monitor industry trends regulatory changes and best practices to continually enhance fraud prevention strategies
Skills Required:
Bachelors degree in engineering technology computer science or related field.
5 years of proven data analytics experience in fraud management for Debit and Credit cards in US market
Experience in designing strategies for fraud management in areas of Account takeover (ATO) card enumeration attacks stolen card credentials etc.
Preferred:
Familiarity with fraud rule engines such as AdvanceDefense/DefenseEdge 3D
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