Jobs at Mastercard

Lead design, development, deployment, and monitoring of production ML models for merchant risk, fraud, AML, and payment-related use cases. Own feature engineering, model lifecycle, validation, production support, and cross-functional collaboration to deliver high-quality, interpretable, and scalable ML solutions using large-scale transaction and merchant data.

This role involves developing high performance, low latency Java solutions for the Fraud Management Platform, collaborating with a team in an Agile environment, and troubleshooting operational issues.

The Senior Software Engineer will enhance IBM ODM Rule solutions, focusing on fraud rule engines, large-scale migrations, and platform modernization while ensuring high availability and low latency solutions.

Lead and grow a data science team to build merchant registry and profiling capabilities. Define strategy, drive ML model development and deployment at scale, establish best practices, partner with Product and Engineering, and deliver measurable business outcomes while promoting reusable assets and Agile delivery.

18-month rotational Associate Consultant program working on client engagements in performance analytics. Collaborate in small teams to analyze large datasets, build propensity models and visualizations using SQL, Python and BI tools, engage with clients, and deliver data-driven strategic recommendations across industries.

Manage and mentor a team of software engineers, deliver large-scale distributed systems, engage in architectural discussions, and ensure high-quality code delivery.

The Consultant will manage client projects, develop business strategies, and mentor junior consultants while delivering effective presentations and analysis.

Lead development of low-latency, high-performance Java solutions for Mastercard's Fraud Platform. Design and implement features, define QA strategy, build automation, run unit/integration/performance tests, troubleshoot production issues, mentor peers, produce documentation, and manage medium-sized initiatives within an Agile team.

Design, develop, test, deploy, and support high-performance, cloud-ready full-stack applications (frontend and REST/gRPC backends). Mentor teammates, drive engineering best practices, implement secure coding and CI/CD pipelines, troubleshoot production incidents, and contribute to API/service adoption and platform-scale decisioning solutions.

Lead product management for Account Protection within Mastercard Identity, supporting product lifecycle from onboarding through monitoring, recovery, and investigation. Define requirements, partner with engineering and data science, engage customers, drive go-to-market, pricing, and API integrations to mitigate fraud (ATO, synthetic identity, mule networks) and deliver scalable account-level intelligence.

Lead technical product development for cloud infrastructure platform capabilities. Define cloud-native strategy and multi-quarter roadmaps, translate business goals into epics and user stories, drive prioritization and delivery across multiple scrum teams, partner with engineering and architecture on design and trade-offs, manage risks and dependencies, and ensure compliance with security, privacy, and Mastercard technology standards.

Design, build, and operate secure, scalable full-stack applications (Java/Node.js/React) in cloud environments. Own end-to-end delivery, production reliability, incident response, API design (REST/GraphQL), mentor teammates, and drive engineering best practices including testing and CI/CD.

Lead market enablement for Agentic Trust across Mastercard regions: drive adoption through training, go-to-market materials, client engagement, market insights, and cross-functional alignment to support product launches and commercialization.

Lead product strategy and execution to build, scale, and operationalize Agentic Trust solutions across identity, fraud, cyber, and disputes. Drive cross-functional delivery, incubate capabilities, ensure platform scalability, and prepare solutions for market readiness and commercialization.

Lead definition and governance of Agentic Trust strategy across Identity & Fraud, Cybersecurity, and Disputes. Prioritize initiatives, drive execution with product and engineering, incubate new capabilities, establish governance, align senior stakeholders, and shape market narrative and commercialization.

Lead partner engagement and POC portfolio for Agentic Trust, managing onboarding, execution, metrics, and cross-functional coordination to scale partner integrations and transition successful pilots to commercialization.

Develop and productionize ML/AI models and scalable data science capabilities for merchant risk assessment. Work on data extraction, feature engineering, entity resolution, prototyping models, validating and monitoring performance, and building Databricks/Spark-based workflows in collaboration with Data Science, Product, and Engineering teams.