The Role
We are seeking a skilled Quantitative Data Analyst to join our team. This is a unique opportunity for an individual who can bridge the gap between finance, machine learning, and natural-language understanding.
This role involves leveraging NLU techniques such as sentiment analysis, intent recognition, and named-entity extraction on financial news and social media to build predictive models. You will design and develop quantitative trading strategies using these methods and perform exploratory data analysis on large datasets.
Key Responsibilities:
* Develop and implement NLU-based trading strategies
* Design and build machine-learning models to uncover predictive trading signals
* Apply mathematical techniques to refine and strengthen trading models
* Rigorously backtest strategies against historical data and optimize models to boost performance
Requirements:
* Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Financial Engineering or a related discipline
* Solid grasp of NLU techniques including sentiment analysis, intent recognition, and named-entity recognition
* Proficiency in Python or R with hands-on experience in NLP libraries
* Strong mathematical foundation and familiarity with ML frameworks
* Excellent analytical and problem-solving abilities, with strong communication and teamwork skills
What We Offer:
* A chance to shape the future with a leading blockchain ecosystem
* Collaboration with world-class talent in a user-centric global organization
* Autonomy to tackle unique projects in an innovative environment
* Results-driven workplace with opportunities for career growth and continuous learning
* Competitive salary and company benefits
* Work-from-home arrangement