Our Client is systematic hedgefund and manages 12 billion dollars in AUM. The firm specialises in data driven investment strategies and identifies trading opportunities through careful evaluation of unusual data sets. The ideal candidate will work on the collecting, storing, processing, and analyzing of huge data sets. The main objective will be to design the optimal software solutions, implementing, maintaining and monitoring them.
The Role
- Work closely with financial analysts to develop new algorithms to automate the investment process
- Process unstructured data into a form suitable for analysis
- Support business decisions with ad hoc analysis as needed
- To be able to work in teams and collaborate with others to clarify requirements
Skills and Qualifications
- Strong programming experience (8+ years) in Python or C++
- Strong SQL expertise (6+ years), including designing data warehouse schemas and tuning performance of very complex SQL queries
- Experience processing large amounts of structured and unstructured data at scale (including writing scripts, web scraping, calling APIs, writing SQL queries, etc.)
- Ability to clean and scrub noisy datasets
- Ability to build custom software tools
- Experience with AWS/EMR and other web services
- Experience with statistical analysis, data mining, machine learning, natural language processing, or information retrieval is a plus
- Experience with Spark and MapReduce is a plus
- Experience with data visualization (Tableau) is a plus
If you would like to be considered for the position of Big Data Engineer, or wish to discuss the role further then please leave your details below. Your resume will be held in confidence until you connect with a member of our team.
