Binance
Crypto • Fintech
Binance is the world's leading cryptocurrency exchange, serving over 235 million registered users across more than 180 countries. The platform offers a wide array of services, including the trading of over 350 cryptocurrencies in Spot, Margin, and Futures markets. Users can also buy and sell crypto via Binance P2P, earn interest through Binance Earn, and engage in NFT trading on the Binance NFT marketplace. Binance provides low transaction fees and diverse payment options, making it a preferred choice for cryptocurrency enthusiasts worldwide.
Research Data Scientist, NLP, Financial Signals
October 24
Binance
Crypto • Fintech
Binance is the world's leading cryptocurrency exchange, serving over 235 million registered users across more than 180 countries. The platform offers a wide array of services, including the trading of over 350 cryptocurrencies in Spot, Margin, and Futures markets. Users can also buy and sell crypto via Binance P2P, earn interest through Binance Earn, and engage in NFT trading on the Binance NFT marketplace. Binance provides low transaction fees and diverse payment options, making it a preferred choice for cryptocurrency enthusiasts worldwide.
📋 Description
• Research and develop quantitative trading strategies using NLU methods such as sentiment analysis, intent 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 perform exploratory data analysis on large, complex 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 related discipline • Strong mathematical foundation: probability, statistics, linear algebra, time-series analysis and familiarity with ML frameworks (Scikit-learn, TensorFlow, PyTorch) • 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 (SpaCy, NLTK, Transformers) • A passion for exploring undefined problem space in the fast changing crypto world
🏖️ Benefits
• Competitive salary and company benefits • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
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