Data Engineer/Data Scientist/ Asset Manager / London
My client is a global, privately owned investment firm, managing more than $30 billion of assets, who are looking to bring in a cross between a Data Engineer/Data Scientist into their London team.
The team is very collaborative and interacts with multiple different teams such as the Investment Insights, Quant and Performance team. They work on various Data Engineering and Data Science projects, in relation to alternative data, responsible investing and geospatial projects.
There will be various data-related requests from the Investment Insights team (e.g. expanding our data scope, investigating problematic data, fixing bugs in our data pipeline) as well as having the opportunity to work on long-term strategic work developing ML/Data Science products or improving their data pipeline framework. Requirements:
• 1-5 years' experience in a Data/Software engineering position
• Bachelor's degree in computer science/ engineering related.
• Excellent Python experience
• SQL & NoSQL databases (e.g., PostgreSQL, DynamoDB)
• Cloud-based infrastructure and services (e.g. AWS, Azure, GCP)
• Data manipulation frameworks (e.g., pandas in Python, dplyr in R)
This is an amazing opportunity to join a very successful Asset Manager who are looking to build out their Data team in London. There will be a lot of scope to carry out your own projects that your passionate about. Their culture and team structure also gives the team the opportunity to be creative and to propose and work on innovative projects that add value to their business and improve our investment research capabilities.
To apply please contact firstname.lastname@example.org