Payment Fraud Prevention Analyst Job at NYC Careers
NYC Department of Finance (DOF) is responsible for administering the tax revenue laws of the city fairly, efficiently, and transparently to instill public confidence and encourage compliance while providing exceptional customer service.
Citywide Payments and Support Services provides best practice payment solutions and standards for City agencies to ensure efficient and compliant revenue collection, help modernize existing systems, encourage innovation, and improve the customer experience.
Fraudulent payment schemes targeting municipalities such as New York City have proliferated rapidly in the US, beginning during the Covid 19 pandemic, and continuing unabated to the present day. In response the NYC Department of Finance is committed to becoming a pioneer in adapting the techniques of fraud prevention and the use of technologically sophisticated vendor applications to unique governmental requirements. The CPSS Payment Fraud Prevention Analyst will manage DOF payment authenticity standards and day-to-day operations related to detecting, preventing, and remediating all varieties of failed and unauthorized payments. The position will be instrumental in creating the operating guidelines for a new function at the Department of Finance. The position will also have some PCI certification and credit card terminal support responsibilities.
Specific Responsibilities include:
o Operations lead for consumer and institutional exemption requests, including greenlist programs
o Preparation of periodic fraud activity reports, “state-of” presentations and ad-hoc briefings
o Build and syndicate institutional knowledge of evolving domestic trends in Consumer-to-government payment fraud and vendor capabilities
o Upon completion of PCI certification and in-house training, perform PCI certification of NYC agencies.
o Responsible for documentation of annual agency self-assessments.
o Subject-matter liaison with selected agencies and partner teams.
o Work on other PCI related projects as needed.
o Commitment to attend on-line or off-site ISA training programs.
o Lead contributor to the ongoing Design, evaluate and implement eCheck fraud reduction programs.
o Research the capabilities and evolution of emerging payment schemes, such as Real-Time Payments and Blockchain, with respect to fraud prevention.
o Provide 1st level credit card terminal support to agencies in resolving common terminal issues.
o Escalate unresolved credit card machine issues to credit card payment processor as needed.
o Serve as TPS liaison to DOF Cyber Command.
o TPS liaison to DOF Cyber Command.
Position requirements:
Please note that CPSS may request to see samples of applicant's actual work product and/or may administer proficiency tests to gauge experience in critical areas
Citywide Payments and Support Services provides best practice payment solutions and standards for City agencies to ensure efficient and compliant revenue collection, help modernize existing systems, encourage innovation, and improve the customer experience.
Fraudulent payment schemes targeting municipalities such as New York City have proliferated rapidly in the US, beginning during the Covid 19 pandemic, and continuing unabated to the present day. In response the NYC Department of Finance is committed to becoming a pioneer in adapting the techniques of fraud prevention and the use of technologically sophisticated vendor applications to unique governmental requirements. The CPSS Payment Fraud Prevention Analyst will manage DOF payment authenticity standards and day-to-day operations related to detecting, preventing, and remediating all varieties of failed and unauthorized payments. The position will be instrumental in creating the operating guidelines for a new function at the Department of Finance. The position will also have some PCI certification and credit card terminal support responsibilities.
Specific Responsibilities include:
- Online Credit/Debit Card Fraud Prevention
o Operations lead for consumer and institutional exemption requests, including greenlist programs
o Preparation of periodic fraud activity reports, “state-of” presentations and ad-hoc briefings
o Build and syndicate institutional knowledge of evolving domestic trends in Consumer-to-government payment fraud and vendor capabilities
- PCI/DSS Compliance
o Upon completion of PCI certification and in-house training, perform PCI certification of NYC agencies.
o Responsible for documentation of annual agency self-assessments.
o Subject-matter liaison with selected agencies and partner teams.
o Work on other PCI related projects as needed.
o Commitment to attend on-line or off-site ISA training programs.
- US Domestic Payments
o Lead contributor to the ongoing Design, evaluate and implement eCheck fraud reduction programs.
o Research the capabilities and evolution of emerging payment schemes, such as Real-Time Payments and Blockchain, with respect to fraud prevention.
- Other
o Provide 1st level credit card terminal support to agencies in resolving common terminal issues.
o Escalate unresolved credit card machine issues to credit card payment processor as needed.
o Serve as TPS liaison to DOF Cyber Command.
o TPS liaison to DOF Cyber Command.
- Potential for assignment of special research projects as capabilities and time permit.
Position requirements:
Please note that CPSS may request to see samples of applicant's actual work product and/or may administer proficiency tests to gauge experience in critical areas
Minimum Qual Requirements
Level I
1. A master’s degree from an accredited college or university in social science, economics, statistics, computer science, data analysis, geography, sciences, technology, engineering, mathematics (STEM), or a closely related field, with at least 12 credits or five courses in economics, public policy, econometrics, statistics, mathematics, engineering, geography or computer science.
2. A baccalaureate degree from an accredited college or university as described in “1” above and two years of full-time, professional experience performing statistical analysis and programming work in any of the areas described in “1” above.
Level II
1. A master’s degree from an accredited college or university in social science, economics, statistics, computer science, data analysis, geography, sciences, technology, engineering, mathematics (STEM), or a closely related field, with at least 12 credits or five courses in economics, public policy, econometrics, statistics, mathematics, engineering, geography or computer science.
2. A baccalaureate degree from an accredited college or university as described in “1” above and two years of full-time, professional experience performing statistical analysis and programming work in any of the areas described in “1” above.
Special Note:
To be eligible for placement in Assignment Level II, individuals must have, in addition to meeting the minimum requirements, at least one year full-time work experience in a related field, or a master’s degree from an accredited college or university, in the areas described in “1” above, with at least 12 credits or three advanced courses in economics, public policy, econometrics, statistics, mathematics, engineering, geography, or computer science."
Level III
1. A master’s degree from an accredited college or university in social science, economics, statistics, computer science, data analysis, geography, sciences, technology, engineering, mathematics (STEM), or a closely related field, with at least 12 credits or five courses in economics, public policy, econometrics, statistics, mathematics, engineering, geography or computer science.
2. A baccalaureate degree from an accredited college or university as described in “1” above and two years of full-time, professional experience performing statistical analysis and programming work in any of the areas described in “1” above.
Special Note:
To be eligible for placement in Assignment Level III, individuals must have, in addition to meeting the minimum requirements of Level II, at least three years full-time work experience in a related field, or a Doctorate degree from an accredited college or university, in the areas described above, with at least 12 credits or three advanced courses in economics, public policy, econometrics, statistics, mathematics, engineering, geography or computer science.
1. A master’s degree from an accredited college or university in social science, economics, statistics, computer science, data analysis, geography, sciences, technology, engineering, mathematics (STEM), or a closely related field, with at least 12 credits or five courses in economics, public policy, econometrics, statistics, mathematics, engineering, geography or computer science.
2. A baccalaureate degree from an accredited college or university as described in “1” above and two years of full-time, professional experience performing statistical analysis and programming work in any of the areas described in “1” above.
Level II
1. A master’s degree from an accredited college or university in social science, economics, statistics, computer science, data analysis, geography, sciences, technology, engineering, mathematics (STEM), or a closely related field, with at least 12 credits or five courses in economics, public policy, econometrics, statistics, mathematics, engineering, geography or computer science.
2. A baccalaureate degree from an accredited college or university as described in “1” above and two years of full-time, professional experience performing statistical analysis and programming work in any of the areas described in “1” above.
Special Note:
To be eligible for placement in Assignment Level II, individuals must have, in addition to meeting the minimum requirements, at least one year full-time work experience in a related field, or a master’s degree from an accredited college or university, in the areas described in “1” above, with at least 12 credits or three advanced courses in economics, public policy, econometrics, statistics, mathematics, engineering, geography, or computer science."
Level III
1. A master’s degree from an accredited college or university in social science, economics, statistics, computer science, data analysis, geography, sciences, technology, engineering, mathematics (STEM), or a closely related field, with at least 12 credits or five courses in economics, public policy, econometrics, statistics, mathematics, engineering, geography or computer science.
2. A baccalaureate degree from an accredited college or university as described in “1” above and two years of full-time, professional experience performing statistical analysis and programming work in any of the areas described in “1” above.
Special Note:
To be eligible for placement in Assignment Level III, individuals must have, in addition to meeting the minimum requirements of Level II, at least three years full-time work experience in a related field, or a Doctorate degree from an accredited college or university, in the areas described above, with at least 12 credits or three advanced courses in economics, public policy, econometrics, statistics, mathematics, engineering, geography or computer science.
Preferred Skills
- Commitment to and experience with fact-based recommendations and decision-making in information-rich and information-poor contexts.
- Demonstrated ability to work productively with senior and junior colleagues, vendors, agency staff and customers, taking the range of human emotions in stride.
- Skilled using data analysis and visualization tools to create charts and graphics for presentations and management reports.
- Strong MS Office skills, with an emphasis on Powerpoint, Visio and basic and advanced Excel.
- Familiarity with MS Teams or similar collaborative work platforms.
- Experience with Python; SQL, CRM packages desirable but not required.
- Experience with Salesforce and other CRM platforms a plus.
- Good analytical and troubleshooting skills.
Additional Information
The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.
In compliance with Federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.
As a current or prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. Please review the notice to see if you may be eligible for programs and how to apply at nyc.gov/studentloans.
In compliance with Federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.
As a current or prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. Please review the notice to see if you may be eligible for programs and how to apply at nyc.gov/studentloans.
To Apply
Click the "Apply Now" button.
While we appreciate every applicant's interest, only those under consideration will be contacted.
While we appreciate every applicant's interest, only those under consideration will be contacted.
Hours/Shift
Unless otherwise indicated, all positions require a five-day workweek.
Work Location
59 Maiden Lane
(Current location but could be subject to change)
(Current location but could be subject to change)
Residency Requirement
New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.
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