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The Global Lead for Risk Data Tribe is responsible for driving risk data priorities and strategic initiatives, overseeing the development of methodologies for managing financial and non-financial risks, supporting centralization and standardization efforts, and streamlining risk data processes through automation and optimization. The role emphasizes stakeholder engagement and leading cross-border teams.

The Chapter Lead Architect for Banking Technology and Reliability oversees the architecture chapter, drives enterprise change, and develops staff to meet individual and organizational goals. Responsibilities include documenting processes, defining development roadmaps, supporting target architecture delivery, motivating team growth, and ensuring compliance with organizational policies.

As a Java Developer for the OnePAM platform, you will design, develop, test, and deploy APIs, support production applications, manage monitoring tools, and work closely with feature squads and other teams. You will also guide less experienced colleagues and explore solutions for cloud migration.

As a Market Risk Data Analyst, you will understand and manage finance data through ETL processes, supporting reporting teams with data mart development, while communicating with various stakeholders. You will also utilize tools like PowerBI and participate in the development of the ALM platform.

As a Senior GCP Platform Engineer, you will develop data-driven products within the Analytics Engineering organization, utilizing GCP managed services, Infrastructure as Code with Terraform, and programming skills in Python or Golang. You will work collaboratively in a creative environment focused on making ING data-driven and maintaining high-quality solutions.

As an Oracle Database Engineer, you will provide operational support for Oracle databases, focusing on performance tuning, reliability enhancements, and customer support. You will also share your extensive knowledge to empower customers to manage their databases effectively.

As a Chapter Lead for LLMOps, you are responsible for both managing a diverse team and contributing to the delivery of analytics projects. You will oversee team skills and allocation for product delivery, promoting career development and engagement among chapter members while being an expert in Data Science craftsmanship.