A financial services company is seeking a skilled professional to develop and implement fraud detection rules for Debit and Credit Cards in the US market. The role involves investigating suspicious activities, designing fraud management strategies, and collaborating with teams to enhance prevention measures. Candidates should have a Bachelor's degree, over 5 years of experience in data analytics, and strong communication skills. This is a full-time position located primarily in Jersey City, NJ.
Qualifications
5+ years of proven data analytics experience in fraud management for Debit and Credit cards in the US market.
Experience in designing strategies for fraud management in areas such as Account takeover and stolen card credentials.
Excellent communication and presentation skills with the ability to convey complex information clearly.
Knowledge of fraud models like Falcon and VAA.
Excellent communication and presentation skills; detail-oriented and proactive.
Responsibilities
Develop, implement and monitor fraud detection rules for Debit and Credit Cards for the US market.
Investigate suspicious activities and transactions to develop mitigation strategies.
Collaborate with cross-functional teams to enhance fraud prevention measures.
Generate reports and presentations outlining fraud risks, incidents, and mitigation strategies for management review.
Collaborate with 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
Data analytics experience in fraud management
Communication skills
Problem-solving
Fraud models
Fraud rule engines
3D Secure
Defense Edge
VAA
Education
Bachelor's degree in engineering, technology, computer science or related field
Tools
Fraud rule engines
Industry fraud models
2-Way Connect
Provision+
Feature Space
Job description
Locations: Jersey City-NJ / Merrimack-NH / Westlake-TX
Type of Hire: Full Time
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
Bachelor's 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.
Familiarity with fraud rule engines such as Advance Défense/Defense Edge, 3D Secure system, 2-Way Connect, Provision+, and Feature Space
Familiarity with industry fraud models like Falcon and VAA
Excellent communication and presentation skills with the ability to convey complex information clearly and concisely.
Detail-oriented with a proactive mindset toward problem-solving and risk mitigation.
Ability to work collaboratively in a cross-functional team environment