Data Scientist, Quantitative Trading

3 days ago


Singapore Binance Full time
Data Scientist, Quantitative Trading (NLU/NLP)

Crypto Jobs

Job Description

Title : Data Scientist – Quantitative Trading (NLU/NLP)

Department : Quantitative Trading / Research

Key Focus : Leverage NLP and machine learning to extract trading signals from news and social media

This role merges Natural Language Understanding (NLU) with quant finance . You'll:

  • Extract alpha from text-based sources (e.g., Reddit, Twitter, news feeds)
  • Build ML/NLP models to predict market behavior
  • Integrate linguistic signals into backtested trading strategies
Required Technical Skills
  • Proficient with NLP libraries: SpaCy , NLTK , HuggingFace Transformers
  • Skilled in Named Entity Recognition (NER) , Sentiment Analysis , and Intent Detection
  • Experience extracting trading signals from unstructured text (news, social media)
  • Strong programming skills in Python (preferred); familiarity with R for statistical modeling
  • Experience with data manipulation using pandas , NumPy , and API integration
  • Solid understanding of probability theory , linear algebra , and time-series analysis
  • Knowledge of risk modeling and statistical testing for hypothesis validation
  • Proficient in Scikit-learn , TensorFlow , and PyTorch for training, tuning, and deploying models
  • Applied ML to text classification , clustering , and signal generation
  • Familiarity with financial markets and quantitative trading concepts
  • Experience using Backtrader , Zipline , or custom backtesting frameworks to simulate trading strategies
  • Fluent in English and Mandarin to collaborate with global, cross-functional teams and stakeholders
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