Investigates emerging payment fraud schemes, cyber threats, and criminal activity using internal data, open-source research, and intelligence resources. Analyzes complex datasets to identify patterns, anomalies, and trends; develops investigative hypotheses; and produces actionable reports, briefings, and threat assessments. The role collaborates with product, data science, and stakeholder teams to improve intelligence methodologies and support customer decision-making, product strategy, and payment ecosystem security.
Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Product Specialist, Payment Threat Intelligence
Overview:
Mastercard's Services team is responsible for safeguarding trust in payments, both now and in the future. We help ensure that transactions and interactions across the digital economy are safe, simple, and smart.
The Card & Payment Ecosystem Security organization develops intelligence-driven products and capabilities that help customers identify, understand, and respond to emerging fraud and cyber threats impacting the payments ecosystem.
About the Role:
Mastercard is seeking a curious, analytical, and self-directed investigator to join the Payment Threat Intelligence team.
This role focuses on identifying, investigating, and analyzing emerging threats, fraud trends, and criminal activity impacting the global payments ecosystem. Successful candidates are motivated by solving complex problems, connecting disparate pieces of information, and transforming observations into actionable intelligence.
The ideal candidate is comfortable operating in ambiguous environments where investigative paths are not predefined and where persistence, critical thinking, and sound analytical judgment are required to uncover meaningful insights.
Role & Responsibilities:
-Conduct investigations into emerging fraud schemes, cyber threats, and criminal activity affecting the payments ecosystem.
-Analyze large and diverse datasets to identify patterns, anomalies, relationships, and trends that may indicate emerging risks.
-Develop investigative hypotheses and pursue leads using a combination of internal data, open-source research, and intelligence resources.
-Produce clear, actionable intelligence reports, briefings, and assessments for both technical and non-technical audiences.
-Monitor developments across the fraud, cybercrime, and payments threat landscape to identify emerging risks and opportunities for further investigation.
-Collaborate with product, data science, and stakeholder teams to enhance Mastercard's understanding of threats impacting customers and the broader ecosystem.
-Contribute to the development of methodologies, analytical frameworks, and intelligence processes that improve investigative outcomes.
-Translate complex analytical findings into intelligence that supports customer decision-making, product strategy, and ecosystem security initiatives.
All About You:
-Experience conducting investigations, analytical research, intelligence analysis, fraud analysis, cyber threat analysis, or other problem-solving activities involving large or complex datasets.
-Demonstrated ability to identify patterns, develop hypotheses, and draw conclusions from incomplete or evolving information.
-Strong research and critical thinking skills with a natural curiosity for understanding how fraud, cyber threats, and criminal ecosystems operate.
-Ability to work independently, manage multiple lines of inquiry, and drive investigations forward with limited direction.
-Excellent written and verbal communication skills, including the ability to explain complex findings to diverse audiences.
-Experience leveraging quantitative and qualitative information sources to develop actionable insights.
-Comfortable navigating ambiguity and adapting investigative approaches as new information emerges.
-Collaborative mindset with the ability to work effectively across technical, analytical, and business-focused teams.
Preferred Qualifications:
-Experience working with payment card, fraud, cyber, risk, intelligence, trust and safety, digital investigations, law enforcement, financial crimes, research, or related domains.
-Experience leveraging datasets such as authentication, authorization, clearing, transaction, identity, cyber, or intelligence-related data sources.
-Experience producing analytical reports, intelligence products, threat assessments, or investigative findings for internal or external stakeholders.
Application Requirement:
As part of your application, please include a brief written response describing a fraud trend, cyber threat, criminal activity, or investigative topic that you find particularly interesting and why.
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact [email protected] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
In line with Mastercard's total compensation philosophy and assuming that the job will be performed in Canada, the successful candidate will be offered a competitive pay based on location, experience and other qualifications for the role and may be eligible to participate in a discretionary annual incentive program. This posting reflects one or more current openings on our team.
Pay Ranges
Toronto, Canada: $75,000 - $120,000 CAD
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Product Specialist, Payment Threat Intelligence
Overview:
Mastercard's Services team is responsible for safeguarding trust in payments, both now and in the future. We help ensure that transactions and interactions across the digital economy are safe, simple, and smart.
The Card & Payment Ecosystem Security organization develops intelligence-driven products and capabilities that help customers identify, understand, and respond to emerging fraud and cyber threats impacting the payments ecosystem.
About the Role:
Mastercard is seeking a curious, analytical, and self-directed investigator to join the Payment Threat Intelligence team.
This role focuses on identifying, investigating, and analyzing emerging threats, fraud trends, and criminal activity impacting the global payments ecosystem. Successful candidates are motivated by solving complex problems, connecting disparate pieces of information, and transforming observations into actionable intelligence.
The ideal candidate is comfortable operating in ambiguous environments where investigative paths are not predefined and where persistence, critical thinking, and sound analytical judgment are required to uncover meaningful insights.
Role & Responsibilities:
-Conduct investigations into emerging fraud schemes, cyber threats, and criminal activity affecting the payments ecosystem.
-Analyze large and diverse datasets to identify patterns, anomalies, relationships, and trends that may indicate emerging risks.
-Develop investigative hypotheses and pursue leads using a combination of internal data, open-source research, and intelligence resources.
-Produce clear, actionable intelligence reports, briefings, and assessments for both technical and non-technical audiences.
-Monitor developments across the fraud, cybercrime, and payments threat landscape to identify emerging risks and opportunities for further investigation.
-Collaborate with product, data science, and stakeholder teams to enhance Mastercard's understanding of threats impacting customers and the broader ecosystem.
-Contribute to the development of methodologies, analytical frameworks, and intelligence processes that improve investigative outcomes.
-Translate complex analytical findings into intelligence that supports customer decision-making, product strategy, and ecosystem security initiatives.
All About You:
-Experience conducting investigations, analytical research, intelligence analysis, fraud analysis, cyber threat analysis, or other problem-solving activities involving large or complex datasets.
-Demonstrated ability to identify patterns, develop hypotheses, and draw conclusions from incomplete or evolving information.
-Strong research and critical thinking skills with a natural curiosity for understanding how fraud, cyber threats, and criminal ecosystems operate.
-Ability to work independently, manage multiple lines of inquiry, and drive investigations forward with limited direction.
-Excellent written and verbal communication skills, including the ability to explain complex findings to diverse audiences.
-Experience leveraging quantitative and qualitative information sources to develop actionable insights.
-Comfortable navigating ambiguity and adapting investigative approaches as new information emerges.
-Collaborative mindset with the ability to work effectively across technical, analytical, and business-focused teams.
Preferred Qualifications:
-Experience working with payment card, fraud, cyber, risk, intelligence, trust and safety, digital investigations, law enforcement, financial crimes, research, or related domains.
-Experience leveraging datasets such as authentication, authorization, clearing, transaction, identity, cyber, or intelligence-related data sources.
-Experience producing analytical reports, intelligence products, threat assessments, or investigative findings for internal or external stakeholders.
Application Requirement:
As part of your application, please include a brief written response describing a fraud trend, cyber threat, criminal activity, or investigative topic that you find particularly interesting and why.
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact [email protected] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
- Abide by Mastercard's security policies and practices;
- Ensure the confidentiality and integrity of the information being accessed;
- Report any suspected information security violation or breach, and
- Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
In line with Mastercard's total compensation philosophy and assuming that the job will be performed in Canada, the successful candidate will be offered a competitive pay based on location, experience and other qualifications for the role and may be eligible to participate in a discretionary annual incentive program. This posting reflects one or more current openings on our team.
Pay Ranges
Toronto, Canada: $75,000 - $120,000 CAD
Mastercard New York, New York, USA Office
Mastercard NYC Tech Hub Office

Mastercard’s NYC Tech Hub unites experts from diverse backgrounds and disciplines, from software development to finance, data architecture to cybersecurity and beyond, to build systems that never fail for a world that never stops.
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What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory


