- Research and deploy new models to contribute to better trader decisions
- Develop and enhance existing machine learning models
- Create and implement analytics for the front office by leveraging a variety of mathematical and computer science methods
- Standardizing and structuring data so it is easily understandable
- Examining real-world data and new datasets to help gain better insight into the market and visualize the results
- At least 1 - 2 years' of experience in quantitative analytics or data modeling
- Commodities background is a must
- Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
- Experience working on data sets, data analysis and basic modelling
Data Scientist - City of London, Greater London, United Kingdom - Source Technology
Found in: Jooble UK O L C2 - 2 weeks ago
Description
Are you someone who is looking to take the next step in your career? Do you want to be a part of a rapidly growing commodities trading firm with exciting growth plans? If so, an excellent opportunity has arisen for a Junior Data Scientist to join a growing trading firm.
Read all the information about this opportunity carefully, then use the application button below to send your CV and application.
A varied role where you will have an impact across the full data science workflow including quant analysis. You will be working on the latest tech and have a clear career path to become a senior member of the company. You'll play a pivotal role in helping traders make better data driven decisions. Your contributions will directly impact the decisions made and help make the company additional £billions.
Key responsibilities:
If you're interested, submit your CV and Daniel Akanni will be in contact with you to discuss the next steps.