Data Scientist, Quantitative Trading (NLU/NLP)

🧠 Job Snapshot

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

Location: Singapore (Remote)

Department: Quantitative Trading / Research

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

🔍 Your Mission

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

🧠 NLP / NLU

• 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)

💻 Programming

• Strong programming skills in Python (preferred); familiarity with R for statistical modeling
• Experience with data manipulation using pandas, NumPy, and API integration

📊 Math & Statistics

• Solid understanding of probability theory, linear algebra, and time-series analysis
• Knowledge of risk modeling and statistical testing for hypothesis validation

🧠 Machine Learning / AI

• Proficient in Scikit-learn, TensorFlow, and PyTorch for training, tuning, and deploying models
• Applied ML to text classification, clustering, and signal generation

📈 Backtesting & Finance

• Familiarity with financial markets and quantitative trading concepts
• Experience using Backtrader, Zipline, or custom backtesting frameworks to simulate trading strategies

🌍 Languages & Communication

• Fluent in English and Mandarin to collaborate with global, cross-functional teams and stakeholders