We’re a diverse group of visionary innovators who provide trading and workflow automation software, high-value analytics, and strategic consulting to corporations, central banks, financial institutions, and governments. More than 40% of the world’s largest companies use our solutions. Founded in 1999, we’ve achieved tremendous growth by bringing together some of the best and most successful financial technology companies in the world.
• Over 2,000 of the world’s leading corporations, including 50% of the Fortune 500 and 30% of the world’s central banks, trust ION solutions to manage their cash, in-house banking, commodity supply chain, trading and risk.
• Over 800 of the world’s leading banks and broker-dealers use our electronic trading platforms to operate the world’s financial market infrastructure.
With 10,000 employees and offices in more than 40 cities around the globe, ION is a rapidly expanding and dynamic group.
At ION, we offer careers that provide many opportunities: To invent. To design. To collaborate. To build. To transform businesses and empower people around the world to do more, faster and better than before. Imagine what you can do and experience. This is where you can do your best work.
The Automation team is looking for is looking for a data engineer to help expand our internal data analytics and machine learning infrastructure at ION group. You would be responsible for developing and supporting integration with systems to ingest new datasets, ETL/ELT pipelines, data models for BI dashboards and machine learning automation. The ideal candidate is a self-starter who can pick up new skills easily (we will train), with great attention to detail and a love of data and automation!
Team's Strategic Objectives
Our objective is to promote a strong data culture within ION Group and to provide staff the resources and tools they need to use data to its full effect. We provide new standardized and discoverable datasets, Business Intelligence (BI) tools for self-serve dashboards to uncover deeper actionable insights, as well as a state-of-the-art toolkit for machine learning automation. We have been delighted to see company culture change since the team started this journey, and we are excited to continue this growth with your help.
Hard Skills Required
Python, SQL, data modelling and transformation, API development. Any of the following would be a bonus: Azure, Databricks, Power BI, DAX, machine learning classification, NLP.
Soft Skills Required
We are looking for someone excited about engineering, data science and BI, able to work with multiple teams and with great attention to detail in delivering new products and services.