Candidates need a bachelor's degree and solid product experience, preferably in payments. Strong analytical, relationship-building and Excel and PowerPoint skills are also required.
Candidates need a Bachelor's or Master's in a computing or data field, or equivalent experience. They need hands-on skills in Python, PySpark, SQL, Databricks, Airflow and Hadoop, plus knowledge of machine learning and MLOps practices.
Candidates need experience in enterprise or financial risk within a regulated organization and a record of building risk frameworks. They also need knowledge of Second Line oversight and the Three Lines of Defense model, plus experience with digital assets, payments or fintech.
Risk management, Reporting, Business model, ERM, Regulatory compliance, Stakeholder management
Candidates need organized, detail-oriented analytical skills, clear communication with technical and non-technical people, and some technical exposure through coursework, projects or an internship. Agile exposure and familiarity with Excel, PowerPoint, Confluence or Jira are assets.
Candidates need extensive experience in payments, fintech, digital assets or banking, and a proven record of closing complex B2B deals. Strong North American payments knowledge, executive communication skills and willingness to travel across the region are also required.
Sales, Client relationship management, Develop business case, Presentation skills, Sales targets, Communication skills
Candidates need product management experience across new product development, strong analytical and stakeholder skills, and clear communication. Knowledge of identity, fraud, digital commerce or agentic commerce is an advantage, and a bachelor's degree is required.
Candidates need experience across the new product development process and strong analytical and communication skills for working with senior stakeholders. A bachelor's degree or equivalent experience is required, and knowledge of identity, digital payments and security is an advantage.
Hazard assessment, Onboarding, Regulatory compliance, Product comprehension, Process improvement, Collaboration
Candidates need experience across financial risk disciplines such as credit, settlement, liquidity and collateral risk, ideally in banking, payments, fintech or digital assets. They must know exposure measurement, risk ratings, stress testing and expected loss, and have strong analytical judgment and clear communication skills.
Mastercard Canada ULC needs experience in operational risk, controls, audit, compliance or risk management, and a record of building risk and control frameworks. Candidates also need strong stakeholder skills and an interest in digital assets and payments.
Candidates need experience turning data into insights for executives, knowledge of HR functions, and relationship-building skills with internal or external clients. They also need strong problem-solving across data cleaning, analysis, visualization and presentation, plus the ability to manage several projects in a fast-changing environment.
Data visualization, Decision making, Stakeholder management, Research, Relationship building, Problem solving
Candidates need proven product management experience, a solid grasp of big data and cloud pipelines, and experience building API-based data products at scale. They should have worked with data science teams on machine learning, and communicate well with stakeholders across functions.
Customer experience, Communication skills, Cybersecurity, Confidentiality
Candidates need significant payments, fintech or digital asset commercialization experience, a record of closing complex enterprise deals, and experience influencing C-level executives. A knowledge of North American payments and financial services and willingness to travel across the region are also required.
Sales, Leadership, Client relationship management, Prioritization, Liquidity management, Communication skills
Candidates need a quantitative degree, proven experience leading data science projects to production, and substantial hands-on graph analytics skills. Strong Python, SQL, Spark, Hadoop and Databricks skills are also required, along with people-management experience.
Mastercard Canada ULC needs candidates with thought leadership, research or journalism experience and a strong understanding of AI, machine learning and generative AI. Candidates should have excellent writing, editing and project management skills and experience working with senior executives.
Candidates need experience managing technical products such as APIs, data platforms or machine learning solutions. Strong communication skills, the ability to influence cross-functional teams, and working knowledge of digital identity, payments, fraud or security are an advantage.
Product comprehension, Process improvement, Machine learning, Problem solving, Communication skills, Cybersecurity
Candidates need strong data engineering experience, graph database and big data skills (Databricks, Spark, AWS, Hive, Airflow) and a proven record of leading engineering teams. Solid computer science fundamentals and clear communication with technical and business audiences are also needed.
Candidates need demonstrated product management experience in payments, fraud, risk, identity or authentication, plus a solid grasp of digital payment fraud threats. Strong analytical skills, comfort with ambiguity, and clear communication to technical and non-technical audiences are required.
Sales, Prioritization, Analytical skills, Communication skills, Cybersecurity, Confidentiality
Candidates need extensive cyber threat intelligence experience, strong writing skills, and proven team management ability. Relationship-building for cyber crime investigations and a CTI writing sample are expected, and CTI certifications or an advanced degree are preferred.
Cybersecurity, Manage a team, Research, Lead a team, Prioritization, Attention to detail
Mastercard Canada ULC needs candidates with experience leading complex technical programs, strong Agile and SDLC knowledge, and an understanding of Azure cloud services. Deep Jira expertise and executive-level communication are required.
Candidates need strong programming skills, preferably in Java, plus experience with CI/CD pipelines, containerization and test-driven development. Exposure to Apache Kafka or Apache Flink, secure coding practices and infrastructure as code is preferred.
8+ YOECandidates need a Canadian law degree, good standing with a Canadian provincial bar, and at least eight years of post-qualification experience, ideally in payments, fintech or data-driven services. Deep knowledge of PIPEDA, Quebec Law 25 and other Canadian privacy frameworks is required.
Prioritization, Regulatory compliance, Communication skills, Stakeholder management, Work independently, Cybersecurity
Candidates need proven experience engaging internal and external stakeholders to drive product adoption, and an understanding of financial services or payments. SME banking or payments experience and international market knowledge are an asset.
Client relationship management, Financial analysis, Communication skills, Work independently, Cybersecurity, Confidentiality
Candidates need proven experience working with stakeholders, strong complex data queries, and Python and Spark for data manipulation. Experience with agentic AI and UNIX is an asset, and a quantitative degree is preferred.
Candidates need a computer science, data science or engineering degree, or equivalent experience, plus customer-facing data science project experience. They must have strong Python and SQL skills, experience with supervised machine learning, and clear presentation skills.