Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re building 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…
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Powering economies and empowering people
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re building 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.
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Mastercard has 53 open jobs in Canada as of November 6, 2026. Top locations: Toronto and Vancouver.
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Mastercard
Candidates need strong Linux and Bash skills and hands-on experience with Python, PySpark, Airflow, CI/CD, Hadoop, SQL and Databricks. They must have led cross-functional teams, mentored junior engineers, and worked in agile environments.
Python, PySpark, Airflow, Databricks, Hadoop, SQL
Mastercard
Candidates need strong Java programming skills, experience with Spring and frameworks, and knowledge of unit testing and mocking tools. They also need SQL and Oracle experience, plus experience with high-performance applications.
Java, Spring, JUnit, Mockito, EasyMock, Oracle
Mastercard
Mastercard needs solid product experience, preferably in payments, plus strong analytical and relationship-building skills. A bachelor's degree is required; an MBA or advanced degree is preferred.
Microsoft Excel, Microsoft PowerPoint
Mastercard
Candidates need a Bachelor's or Master's degree in a technical field, or equivalent experience, plus hands-on skills in Python, PySpark, SQL, big data processing and machine learning, as well as MLOps knowledge.
Databricks, Airflow, Hadoop, Linux/Unix, PySpark, Python
Mastercard
Mastercard needs a candidate with enterprise or financial risk experience in a regulated organization and experience building risk frameworks. Candidates should understand Second Line oversight and the Three Lines of Defense model, and have experience with digital assets, payments or fintech.
Risk management, Reporting, Business model, ERM, Regulatory compliance, Stakeholder management
Mastercard
Mastercard needs candidates with strong Java and Spring experience, solid SQL and Oracle knowledge, and unit-testing skills with JUnit, Mockito or EasyMock. Candidates should have built high-performance applications and worked in Agile/Scrum teams.
Java, Spring, Oracle, JUnit, Mockito, EasyMock
Mastercard
Mastercard needs strong Java and Spring skills, unit and mocking test experience with JUnit or Mockito, and Oracle SQL knowledge. Candidates also need Agile delivery experience and strong problem-solving ability.
Java, Spring, Oracle, JUnit, Mockito, Selenium WebDriver
Mastercard
Candidates need strong Java and modern application development experience, plus experience building scalable distributed systems and automated testing. Preferred: payments, compliance or fraud background, cloud-native architecture, and a bachelor's degree in a technical field.
Regulatory compliance, Software development, Troubleshoot, Root cause analysis, Leadership, Troubleshooting
Mastercard
Mastercard needs candidates with proven experience leading software engineering teams and delivering large enterprise software. Candidates should have a strong technical background in distributed, highly available systems, plus strong communication and Agile experience.
Java, C++
Mastercard
Mastercard needs candidates with proven experience leading engineering teams and delivering large enterprise software, plus a strong background in distributed, highly available systems. Experience with Agile, stakeholder management and balancing hands-on technical work with people management is also required.
Java, C++
Mastercard
Candidates need several years of product management in payments, plus lean and agile delivery experience and an understanding of event messaging architectures. A bachelor's degree is required, and strong written and verbal communication with global teams is essential.
Kafka, NATS, Axon
Mastercard
Mastercard needs candidates with hands-on experience building agentic systems in production, plus Python, SQL and generative AI skills. Experience deploying models, working with cloud environments and collaborating across data science and engineering teams is also required.
Git, Jenkins, Maven, Artifactory, Databricks, Spark
Mastercard
Candidates need strong Java and object-oriented programming skills, plus experience with continuous integration and delivery. Exposure to Apache Kafka or Apache Flink, secure coding practices and test-driven development is expected.
Apache Kafka, Apache Flink, Java, Python
Mastercard
Candidates need a strong interest in technology, strong organization and communication skills, and analytical thinking. Relevant coursework, projects or an internship, plus exposure to Agile, Excel, PowerPoint, Confluence or Jira, are assets.
Excel, PowerPoint, Confluence, Jira
Mastercard
Candidates need a bachelor's degree and experience in product management, data analytics or strategy, ideally in fraud, identity, payments or fintech. Strong analytical, communication and cross-functional collaboration skills are required, along with Microsoft Excel, PowerPoint and Word proficiency.
Microsoft Excel, Microsoft PowerPoint, Microsoft Word
Mastercard
Candidates need an experienced product designer with a strong multi-device portfolio, a degree in interactive media design or equivalent experience, and proven work in a customer experience team. Hands-on skill with rapid prototyping, Lean UX, Design Thinking and tools like Figma or Adobe XD is required.
Figma, Sketch, Adobe XD, Adobe Illustrator
Mastercard
Candidates need extensive experience in payments, fintech, digital assets, stablecoins or banking, and a proven record of closing enterprise partnerships. They also need an understanding of North American payments regulation, strong executive communication and negotiation skills, and willingness to travel.
Sales, Client relationship management, Develop business case, Presentation skills, Sales targets, Communication skills
Mastercard
Candidates need several years of product management experience, including developing new products in large matrixed organizations. They should have commercial acumen, people management and remote team leadership skills, and strong executive communication.
Cybersecurity, Customer experience, Team leadership, Coaching, Product comprehension, Communication skills
Mastercard
Candidates need a bachelor's degree, product development and management experience, strong analytical and communication skills, and comfort with fast-changing environments. Knowledge of identity, fraud, digital commerce or agentic commerce is an asset.
Mastercard
Mastercard needs experience across the new product development process, strong stakeholder influence, analytical problem-solving and senior-level communication. Knowledge of identity, digital payments or security is an advantage, and a bachelor's degree or equivalent experience is expected.
Hazard assessment, Onboarding, Regulatory compliance, Product comprehension, Process improvement, Collaboration
Mastercard
Candidates need experience in operational risk, controls, audit, compliance or risk management, plus a record of building risk and control frameworks. Strong stakeholder management, the ability to simplify complex issues, and comfort with ambiguity are also required.
Risk management, Regulatory compliance, Reporting, Stakeholder management, Cybersecurity, Confidentiality
Mastercard
Mastercard needs candidates with experience across credit, counterparty, settlement, liquidity and collateral risk in banking, payments, fintech or digital assets. Candidates should know exposure measurement, risk ratings, limits, stress testing and expected loss, and be able to turn policy into controls and reports.
Risk management, Regulatory compliance, Reporting, Decision making, Documentation, Cybersecurity
Mastercard
Mastercard needs proven experience building insights and narratives for executives, relationship management with internal or external clients, and an understanding of the HR function. Candidates must handle sensitive data within privacy rules and manage several projects across time zones.
Data visualization, Decision making, Stakeholder management, Research, Relationship building, Problem solving
Mastercard
Candidates need a Master's or Bachelor's degree in a quantitative field, proven experience leading data science projects, and substantial hands-on graph analytics skills. They also need advanced Python and SQL, experience with Spark, Hadoop and Databricks, and strong statistical and machine learning knowledge.
Python, SQL, Apache Spark, Hadoop, Databricks
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