G-Research is Europe’s leading quantitative finance research firm. We hire the brightest minds in the world to tackle some of the biggest questions in finance.
We pair this expertise with machine learning, big data, and some of the most advanced technology available to predict movements in financial markets.
The Research Data team at G-Research is looking for a talented Data Engineer to join them. The team is responsible for processing and modelling vendor data and making this available in a standardised format for research and trading.
The datasets range from simple CSV files to complex hierarchical formats, covering subjects as diverse as analyst tips and weather forecasts.
We aim to provide the tools and services to access this data and ensure data quality and consistency.
This role involves collaborating closely with other teams across the business to deliver outstanding data resources and end-to-end design and implementation.
Key technologies used in this role include : SQL Server, PostgreSQL, Cassandra, Spark, Kubernetes, Kotlin, Java, Scala, C#, .NET Core
The platform that the firm provides is used 24 hours a day, and all engineers in the group have a responsibility to support production issues encountered in the data processing.
This will include a share of overnight calls from within the firm.
Key responsibilities of the role include :
Who are we looking for?
The ideal candidate will have :
Financial experience may be useful but is not required. Candidates from non-financial backgrounds are encouraged to apply.
Why should you apply?