We apply advanced machine learning techniques to identify unique signals that can be used in quantitative trading.
We develop applications used in investment research that harness the power of AI and Machine learning. Our applications process structured and unstructured data across various sources including social media, company websites, stock exchanges and data vendors to uncover useful insights that can be turned into trading signals.
We seeks talented individuals to work on our latest project in Natural Language Processing on a very large set of unstructured data.
Requirements:
- Software Engineering education
- Proficiency in either Python or Java
- Knowledge of common Machine Learning models
- Knowledge of Natural Language Processing would be preferable and including experience with NLP libraries such as NLTK and Spacy
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- Company:
Aures Capital Pte. Ltd - Designation:
Machine Learning Programmer - Profession:
IT / Information Technology - Industry:
Computer and IT