Jobs at Mastercard

Leads the design, development, deployment, and evaluation of machine learning solutions, including predictive models, recommendation systems, forecasting, embeddings, and foundation-model applications. Defines experimentation frameworks, measures business impact, partners with cross-functional stakeholders, presents technical recommendations, and mentors data scientists and AI engineers. Requires advanced machine learning, statistical modeling, Python, SQL, cloud, and production deployment expertise.

Lead the development and production deployment of machine learning solutions, including forecasting, recommendation, propensity, fraud, and customer analytics models. Define experimentation and evaluation frameworks, apply foundation-model embeddings, measure business impact, and partner with cross-functional stakeholders. Mentor data scientists and AI engineers, guide technical direction, support hiring, and communicate findings to senior leadership.

Leads the design, development, deployment, and evaluation of machine learning solutions for forecasting, recommendation, propensity modeling, fraud detection, and customer analytics. Defines experimentation frameworks, applies foundation-model embeddings, measures business impact, partners across functions, presents insights to leadership, and mentors data scientists and AI engineers. The role also contributes to hiring, capability development, and the organization’s technical direction.

Leads enterprise data quality strategy, architecture, platforms, frameworks, observability, governance, and automation. Designs reusable quality capabilities for batch, streaming, cloud, on-premises, and SaaS environments; establishes rules, metrics, alerts, and remediation workflows; integrates quality with metadata, lineage, catalogs, MDM, and data contracts; mentors engineering teams; evaluates tools; and applies AI and machine learning to anomaly detection, root-cause analysis, and trusted AI-ready data platforms.

Develop, test, maintain, and support secure, scalable software applications and services. Translate requirements into maintainable components, contribute to APIs, microservices, distributed and event-driven systems, and maintain automated tests. Collaborate with Product, QA, Security, DevOps, and Operations teams while supporting cloud applications, monitoring performance, troubleshooting issues, and contributing to CI/CD, observability, reliability, and secure coding initiatives.

Build and enhance Ethoca products through design, development, testing, deployment, configuration, and documentation. Own delivery tasks, integrate services, improve operational metrics, develop architectural understanding, and promote engineering standards. Design scalable test automation frameworks, review automation and quality solutions, support shift-left practices, participate in architecture reviews, collaborate with product stakeholders, and mentor less-experienced engineers.

Supports Mastercard’s Global Fusion Center through cybersecurity intelligence research, threat analysis, briefings, exercises, and cross-functional security projects. The intern will help identify emerging cyber threats, analyze security trends, communicate complex findings, and contribute to intelligence-driven security practices while developing professional skills through mentorship and networking.

Leads the design, development, deployment, and evaluation of machine learning solutions for business problems such as forecasting, recommendations, fraud detection, and customer analytics. Defines modeling and experimentation approaches, applies embeddings and foundation-model techniques, measures business impact, partners with cross-functional stakeholders, presents technical insights, and mentors data scientists and AI engineers. Also contributes to hiring, capability development, and the AI organization’s technical direction.

Manage daily accounts receivable operations, including customer payment processing, collections, dunning, aging analysis, account reconciliations, journal entries, and month-end close activities. Resolve customer and internal inquiries, support audits and SOX testing, investigate discrepancies, and improve accounting processes, controls, and documentation. Maintain accurate financial records while collaborating with AR colleagues and stakeholders in a multinational organization.

The Site Reliability Engineer II supports the full service lifecycle, including design, deployment, monitoring, incident response, root-cause analysis, capacity planning, automation, and reliability improvements. The role partners with development, operations, product, and global stakeholders to improve system availability, performance, resiliency, and customer experience. Responsibilities also include production readiness reviews, ITSM analysis, postmortems, risk mitigation, and mentoring junior team members.

Supports Mastercard’s Subsidiary Security team in helping acquired companies securely integrate into Mastercard. The intern will assess security risks and emerging technologies, contribute to integration roadmaps, complete cybersecurity-related projects, and communicate technical concepts to diverse audiences. The role also involves managing multiple priorities, collaborating across teams, developing cybersecurity expertise, and applying foundational AI knowledge.

The Site Reliability Engineer II supports the reliability and production readiness of Mastercard platforms. Responsibilities include monitoring availability and performance, incident response, root-cause analysis, capacity planning, launch reviews, automation, deployment improvements, self-healing, postmortems, and risk mitigation. The role partners with development, operations, product, and customer-focused teams to improve service reliability, operational processes, and customer experience while mentoring junior team members.

Leads the design, development, deployment, and evaluation of machine learning solutions, including predictive models, recommendation systems, forecasting, fraud detection, and customer analytics. Defines experimentation frameworks and success metrics, applies embeddings and foundation-model techniques, partners with cross-functional stakeholders, presents business insights, and mentors data scientists and AI engineers. Drives projects from problem definition through production deployment and measurable business impact while contributing to technical strategy, hiring, and capability development.

Leads Mastercard’s cybersecurity advisory and commercial growth efforts across Asia Pacific. Advises CISOs, CIOs, CROs, boards, and enterprise customers on cyber resilience, fraud, digital trust, risk, and emerging technologies. Drives executive engagements, thought leadership, customer relationships, and strategic opportunities while informing product and engineering roadmaps. Partners across sales, product, engineering, and services to communicate cybersecurity value, influence business growth, and scale the global Field CISO capability.

Supports B2B marketing for Mastercard’s commercial and payment solutions teams by developing events, campaigns, thought leadership, and marketing collateral. Tracks performance metrics, reports results, identifies optimization opportunities, and partners with sales, product, communications, sponsorships, agencies, legal, and external stakeholders. The role also identifies growth opportunities and ensures effective execution of marketing initiatives.

Leads regional post-sale customer success for loyalty, rewards, and engagement solutions across West Arabia and Africa. Manages a regional team, drives platform adoption, customer value, renewals, retention, expansion, and executive relationships. Establishes governance, monitors KPIs, guides client roadmaps, manages risk, and partners with Sales, Product, and Delivery. Requires expertise in enterprise SaaS customer success, loyalty or CRM programs, commercial outcomes, analytics, cross-functional leadership, and people development.

Leads the design, development, deployment, and evaluation of machine learning solutions, including forecasting, recommendation, propensity, fraud, and customer analytics models. Defines experimentation frameworks, applies embeddings and foundation-model techniques, measures business impact, and partners with cross-functional stakeholders. Mentors data scientists and AI engineers, influences technical direction, supports hiring, and communicates technical recommendations to senior leadership.

Leads the design, development, deployment, and evaluation of machine learning solutions, including forecasting, recommendations, propensity modeling, fraud detection, and customer analytics. Defines experimentation frameworks, applies foundation-model embeddings, measures business impact, partners with cross-functional stakeholders, presents findings to leadership, and mentors data scientists and AI engineers. The role also contributes to hiring, capability development, and the technical direction of the AI organization.

Supports HR strategy and operations for Mastercard’s Africa Division. Partners with business leaders and HR centers of excellence on talent management, employee relations, compensation, recruitment, development, onboarding, performance management, and change initiatives. Delivers HR projects and programs, handles employee and manager inquiries, applies local employment laws, and uses workforce data and reporting to improve processes.

Supports the reliability and production readiness of large-scale technology services. Responsibilities include system design consultation, capacity planning, launch reviews, monitoring availability and performance, incident response, root-cause analysis, postmortems, automation, self-healing, deployment improvements, risk mitigation, and collaboration with development, product, and operations teams. The role also mentors junior staff and helps drive Mastercard’s SRE transformation.