Discover ING Tech
ING Tech is an international hub for technology & innovation, developing IT solutions across ING in areas such as Core Banking, Big Data, Financial Markets, Data Management, Touch Point Architecture and many more.
By using the latest methodologies in software development, our fast growing team gathers more than 500 tech enthusiasts who work for international projects that go beyond traditional banking.
As a Chapter Lead you have 2 objectives : facilitate your colleagues in your chapter Dev Engineers on growing their Engineering skills (Development, Tooling, scripting, Linux, etc) as well as on their Domain knowledge (Analytics Models).
As a Chapter Lead Advanced Analytics in our Squad you provide the development knowledge, tooling, resilience and operational experience necessary for smooth analytical model delivery by your colleague.
Your purpose is to make these Advanced Analytics Squads ever faster and reliable.
Work environment :
Your will be part of a DevOps team in ING Tech fully focused on the analytical engine.
You will closely work together with the International Advanced Analytics team, within the ING, the global centre of excellence for data science, machine learning, artificial intelligence and big data.
They will be the product owner of the engine as well as providing many models for the engine.
The international business units have different analytics models each promising exciting challenges and opportunities. You will enable them to make the most of their potential by providing the engine to put their models into production.
Your Day-to-day :
You will be responsible to detail the process of models being on-boarded on the platform
You will support the process for customers
You will act as Technical Product Owner for the backlog of the team (Models and changes on existing models will be run through Product Owner)
You will contribute to design, implementation and lifecycle management of the analytical engine
Greenfield development of a new data analytics capability in a bank
API design and implementation
Connecting and managing international data flows into the engine
Develop, test and deliver in an agile way
Development of new features and functionalities that will contribute to the engine
Operations of the engine : monitoring, testing, deployment
Help tune performance and ensure high availability of services
Create and maintain continuous delivery pipelines
Occasional travel to European to cities such as Frankfurt, Amsterdam, Milan, Madrid, Paris, and others may be required.
Tools used in your day by day activities :
What you bring to the team :
Ideally you have prior experience of running analytical models in production
You master Python / Java, and at least one other language
Previous experience in automatic testing and continuous delivery
Previous experience leading and growing a team