We apply machine learning and artificial intelligence on vast amounts of structured and unstructured financial data. We do this to provide valuable insights on the financial markets that would otherwise be challenging to identify using traditional methods. Our products and services are tailored for quantitative hedge funds, asset managers and research analysts.
We seeks talented individuals to help us manage and process large sets of data from various sources on the web and classify the data in an efficient way to be used for machine learning and natural language processing.
Our applications process the structured and unstructured data obtained from various sources including social media, company websites, stock exchanges and data vendors to uncover useful insights that can be turned into trading signals.
The applicant must be passionate about data analysis and data science.
Requirements:
- Software Engineering education
- Proficiency in Python and particularly its data structures
- Experience working with databases
- Experience in web scraping
- Expertise in machine learning is not a must
- Knowledge of Natural Language Processing would be preferable and including experience with NLP libraries such as NLTK and Spacy
Related Job Searches:
- Company:
Aures Capital - Designation:
Financial Markets Data Scientist - Profession:
IT / Information Technology - Industry:
Finance - Location:
Central Area