About The Role
A leading, tech-driven hedge fund is looking for a senior Python Data Engineer to join a front-office data team for their rapidly growing commodities trading business.
You will be sitting at the desk and directly facing off to a PM, creating bespoke data analytics tools with the latest in cloud and big data technology. Additionally, you will help prospect new, cutting-edge data sources and integrate them into the current data lake, allowing the business to create better trading decisions.
This is a strategic hire that will be crucial to the success of the firm's plans to make a significant dent in the Commodities market, in a year where they are trading a host of new products (focused on Oil and Gas) to broaden the desk's capabilities.
Required Skills
5+ years of data engineering or development background
2+ years in financial services, and experience working in a front-office trading environment
Strong Python programming skills
Understanding of both SQL and NoSQL databases
Exposure to AWS
Familiarity with Commodities markets is strongly preferred
Salary range
$250,000 - $400,000 total compensation (base + bonus)
For more information, please email Lewis.poon@stanfordblack.com