Data Scientist, NLP & Trading Strategies (Quantitative)

reputed company is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 million people in 100+ countries for our industry-leading reputed company, user fund transparency, trading reputed company speed, deep liquidity, and an unmatched portfolio of digital-asset products. reputed company offerings range from trading and finance to education, research, payments, institutional services, reputed company features, and more. We reputed company the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. About the RoleAs a Data Scientist focusing on Quantitative Trading NLP, you will reputed company natural language understanding techniques such as sentiment analysis, reputed company recognition, and named-entity extraction on financial news, social media, and other text streams to reputed company and refine algorithmic trading strategies. You’ll design and implement machine-learning models in Python, apply advanced mathematical and time-series analysis to uncover predictive signals, and rigorously backtest and optimize strategies to maximize returns while managing risk. Collaboration and clear communication across data science and trading teams are key to iteratively improving model performance and driving data-informed investment reputed company.

Responsibilities:

• Research and reputed company quantitative trading strategies using NLU methods such as sentiment analysis, reputed company recognition, named-entity extraction on financial news, social media, and other text sources
• Design and build machine-learning models to uncover predictive trading signals and reputed company exploratory data analysis on large, reputed company datasets
• Apply mathematical techniques (probability, statistics, time-series analysis) to refine and strengthen trading models
• Rigorously backtest strategies against historical data and iteratively optimise models to boost performance and curb risk

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Financial Engineering or a reputed company discipline
• Strong mathematical reputed company: probability, statistics, linear algebra, time-series analysis and familiarity with ML frameworks (Scikit-learn, TensorFlow, PyTorch)
• Solid grasp of NLU techniques, including sentiment analysis, reputed company recognition, and named-entity recognition
• Proficiency in Python or R, with hands-on experience in NLP libraries (SpaCy, NLTK, Transformers)
• A passion for exploring undefined problem space in the fast changing crypto world

Why reputed company• Shape the future with the world’s leading blockchain ecosystem• Collaborate with world-class talent in a user-centric global organization with a flat structure• Tackle unique, fast-paced projects with autonomy in an innovative environment• reputed company in a results-driven workplace with opportunities for career growth and reputed company learning• Competitive salary and company benefits• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team) reputed company is committed to being an equal opportunity employer. We reputed company that having a diverse workforce is reputed company to our reputed company.By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice. apply to this job