Network kft állások, munkák Budapesten

• Support Category Planning Team And Lead Business Area With End-to-End Supply Chain View
• Strengthen Collaboration With Supplying Plants And Manage Issues
• Build And Optimize Category Supply Networks
• Translate Market Requirements Into Supply Network Needs

• Design, build, and operate system-level infrastructure for autonomous test vehicles
• Take end-to-end responsibility for components, OS provisioning, deployment and runtime behavior
• Debug complex issues across Linux systems, networking and hardware components

Design and build an automation test framework integrated into CI/CD pipelines and the SDLC Implement automated tests across API, integration, and end-to-end layers Write high-quality, maintainable test code with focus on reusability, stability, and execution speed Embed testing into the development...

Development and enhancement of quantitative financial models Application of advanced technologies to real world financial problems Keeping up to date with the latest technological trends ...

• Collaboration with senior product managers to ensure achievement of product objectives
• Support of key projects within the product management team
• Collaboration with research, engineering and program management teams

• Development of West region portfolio plans aligned to business priorities and market context
• Preparation and maintenance of market and metro plans for priority West markets
• Translation of business ambition into practical real estate choices across portfolios

• Design, develop, and maintain C-based applications in Linux/UNIX environments
• Work with system-level interfaces (POSIX APIs, processes, file systems, sockets)
• Develop and enhance Kerberos authentication systems and related tooling

• Architecture design of large-scale market data initiatives
• Software engineering of secure, high performance, scalable and maintainable applications
• Integration and deployment of market data initiatives
• Coordination and collaboration with internal OneMSCI stakeholders

• Development of conceptual and practical understanding of MSCI analytics applied to investment management problems
• Driving new sales and client adoption
• Establishment of model validation standards
• Identification of new opportunities for model and product innovation

• Co-design and implementation of QA workflows using statistical diagnostics, validation rules, and anomaly detection techniques
• Application of AI/machine learning tools to identify inconsistencies, missing values, or suspicious patterns in large-scale asset datasets