About the Role

As a Data Scientist specialized in Quantitative Trading NLP at Binance, you will utilize natural language processing techniques, including sentiment analysis, intent recognition, and named-entity extraction, on various textual sources like financial news and social media to enhance algorithmic trading strategies. Your responsibilities will involve designing and implementing machine-learning models in Python, conducting in-depth mathematical and time-series analyses, and thoroughly testing and optimizing trading strategies to maximize returns while managing risks. Strong collaboration and clear communication skills with both data science and trading teams will be essential in refining model performance and influencing data-driven investment decisions.

Responsibilities

Research and develop quantitative trading strategies by leveraging NLP methods like sentiment analysis, intent recognition, and named-entity extraction across financial news and social media platforms
Create machine-learning models to identify predictive trading signals, conduct exploratory data analysis on intricate datasets, and apply mathematical techniques to strengthen trading models
Thoroughly backtest strategies using historical data and iteratively optimize models to enhance performance and mitigate risks

Requirements

Bachelor’s or Master’s degree in related fields such as Computer Science, Mathematics, Statistics, or Financial Engineering
Strong understanding of foundational math concepts like probability, statistics, linear algebra, time-series analysis, and familiarity with ML frameworks such as Scikit-learn, TensorFlow, and PyTorch
Proficient in Python or R, with practical experience using NLP libraries like SpaCy, NLTK, and Transformers
Passion for exploring new challenges within the rapidly evolving cryptocurrency space

Why Binance

Contribute to shaping the future within a leading blockchain ecosystem
Collaborate with top-tier professionals in a flat, user-focused global organization
Engage in unique and fast-paced projects with autonomy in a progressive setting
Flourish in a performance-driven environment with opportunities for career advancement and continuous learning
Competitive salary and comprehensive company benefits
Remote work opportunities (dependent on business team requirements)

Binance upholds the value of being an equitable employer, recognizing that diversity in the workforce is integral to success. Submitting a job application implies acknowledgment and agreement with their Candidate Privacy Notice. Artificial intelligence tools may be used in various phases of the hiring process to streamline recruitment activities. These tools provide support but do not replace human judgment, as final hiring decisions rest with humans. For further information on data processing, contact Binance directly.

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