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The Manager of Risk Management at Mastercard in Malaysia is responsible for managing regulatory, business, operational, and technology risk exposures. This role includes supporting regional risk committee meetings, developing policies to mitigate risk exposure, advising on business strategies, and preparing risk assessments and reports for regulators. The ideal candidate is passionate, motivated, curious, and possesses an entrepreneurial mindset.
As a Senior Python Spark Engineer at Trūata, you will architect and build Truata's Core Platform to support GDPR compliant big data and data analytic applications. Responsibilities include designing and developing applications for big data handling, data wrangling, anonymization, and data analytics in a cloud-native environment. Ideal candidates are intellectually curious, passionate, and team-oriented with a high sense of ownership.
The Front End Developer at Dynamic Yield by Mastercard will work with major ecommerce, food services, and financial brands across the globe. Responsibilities include developing front-end components for various websites and platforms, consulting and training customer developers, troubleshooting issues, and leading workshops and training sessions.
Looking for a talented Technical Product Manager to join the product team in Tel-Aviv. Responsible for building and enhancing products, engaging with engineering team on technology implementation, defining technological approach, and leading full cycle of product development. Must have 2-4 years of product management experience, experience with APIs, coding experience with HTML/CSS/JS, and analytical/strategic thinking skills.
The BizOps Engineer II role at Mastercard involves solving problems, building CI/CD pipelines, and leading in DevOps automation and best practices. The position focuses on operational readiness and supporting technology services in collaboration with development, operations, and product teams.
The Mastercard Data Warehouse team is looking for an Engineering Manager, Cloud Data Platforms to drive innovation, eliminate friction in data access, and enforce standards in the Big Data space. Responsibilities include designing and developing software solutions, building on cloud data platforms, managing a team of developers, and providing technology leadership.
The Lead Data Scientist at Mastercard is responsible for creating data and analytics solutions using deep learning AI and machine learning models. They work with large datasets from business and finance operations to develop modeling processes, data pipelines, and scalable AI models. The role involves collaborating with business owners to understand requirements and metrics, working with diverse data sources, and optimizing data pipelines for model building.
Seeking a Lead Software Development Engineer to provide technical leadership expertise within the development life-cycle for new products and services. Responsibilities include system development, strategy development, maintenance, production support, mentoring team members, and collaborating with partners to identify opportunities and risks.
The Lead Data Scientist, Cyber Analytics at Mastercard is responsible for developing machine learning models and data pipelines to identify cyber risk surfaces, coordinating with technical teams to deploy models optimally, and communicating insights to both technical and non-technical audiences.
Lead Site Reliability Engineer role at Mastercard in the Enterprise Data Accessibility BizOps team. Responsible for managing and enabling cloud operations, pipelines, services, infrastructures, API support, monitoring, alerting, user behavior, PowerBI readiness, Tableau, and Enterprise Reporting. Focus on reliability, fault tolerance, scalability, and cost-effectiveness.
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