
Data Scientist, Quantitative Trading
3 days ago
Crypto Jobs
Job DescriptionTitle : 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
- 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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