Binance stands as a premier global blockchain ecosystem facilitator of the largest cryptocurrency exchange worldwide in terms of trading volume and user base. Trusted by over 280 million individuals in more than 100 countries, Binance is renowned for its exceptional security measures, transparent user fund management, high-speed trading engine, deep liquidity pool, and an unrivaled range of digital asset products. Services provided by Binance encompass trading, finance, education, research, payment solutions, institutional offerings, Web3 tools, and more. The core mission of Binance revolves around leveraging blockchain and digital assets to establish an inclusive financial ecosystem that promotes financial freedom and enhances financial inclusion on a global scale.

About the Role:

In the position of Data Scientist specializing in Quantitative Trading Natural Language Processing (NLP), you will employ various natural language understanding techniques like sentiment analysis, intent recognition, and named-entity extraction on financial news, social media content, and other textual streams to formulate and enhance algorithmic trading strategies.

Your responsibilities will entail designing and deploying machine-learning models using Python, conducting sophisticated mathematical and time-series analyses to uncover predictive signals, and rigorously testing and optimizing trading strategies to maximize returns while effectively managing risks. Effective collaboration and transparent communication across data science and trading teams are essential for consistently enhancing model performance and steering data-driven investment decisions.

Responsibilities:

Conduct research and craft quantitative trading strategies using NLP techniques like sentiment analysis, intent recognition, and named-entity extraction on financial news and social media content.
Develop machine-learning models to identify predictive trading signals and perform exploratory data analysis on large, intricate datasets.
Utilize mathematical tools including probability, statistics, and time-series analysis to refine trading models effectively.
Thoroughly backtest strategies against historical data and continuously optimize models to enhance performance and mitigate risks.

Requirements:

Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Financial Engineering, or a cognate field.
Profound mathematical knowledge encompassing probability, statistics, linear algebra, time-series analysis, and acquaintance with ML frameworks like Scikit-learn, TensorFlow, and PyTorch.
Sound grasp of NLU techniques including sentiment analysis, intent recognition, and named-entity recognition.
Proficiency in programming languages like Python or R, with hands-on experience in NLP libraries such as SpaCy, NLTK, and Transformers.
Enthusiasm for exploring uncharted territories in the ever-evolving crypto landscape.

Why Join Binance:

Play a pivotal role in shaping the future with the paramount blockchain ecosystem globally.
Collaborate with top-tier talent in a globally-oriented organization with a cooperative structure.
Engage in dynamic and unique projects with autonomy in an innovative setting.
Flourish in a results-oriented environment with ample growth opportunities and continuous learning avenues.
Enjoy competitive remuneration packages and comprehensive company benefits.
Flexible work arrangements, including work-from-home options contingent upon the work nature of the business team.

Binance adheres to the principles of equal opportunity employment, firmly believing that diversity in the workforce is central to achieving success. Rest assured that your privacy and data will be managed in line with our Candidate Privacy Notice. AI tools may be used in the hiring process to support recruitment activities, but the final decisions remain with human judgment. For more information on data processing, feel free to reach out to us.

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