Data Scientist - Singapore

Binance; Singapore; Remote; SGD 80,000 - 120,000; Full time

Job summary

A leading cryptocurrency exchange is seeking a Data Scientist in Singapore. In this role, you will leverage quantitative research and machine learning to develop models influencing trading strategies. Candidates should have a strong background in NLU/NLP and coding skills in Python or R. This position offers competitive pay, benefits, and an opportunity to work in a fast-paced, innovative environment.

Benefits

Competitive pay

Benefits

Upskilling opportunities

Autonomy in a fast-paced environment

Qualifications

• Strong coding skills in Python or R.
• Solid knowledge of NLU/NLP techniques.
• Experience applying machine learning to large datasets.

Responsibilities

• Develop trading models using sentiment analysis and intent detection.
• Backtest strategies and optimize performance.
• Apply statistical and time-series techniques to refine models.

Skills

Sentiment analysis

Intent detection

Named entity recognition

Coding in Python or R

Knowledge of NLU/NLP

Experience with NLP libraries

ML frameworks knowledge

Probability

Linear algebra

Time-series analysis

Proficiency in Mandarin

Education

Bachelor’s or Master’s in CS, Stats, Math, or Financial Engineering

Tools

SpaCy

NLTK

Hugging Face Transformers

Scikit-learn

TensorFlow

PyTorch

Job description

Data Scientist – Quantitative & NLP Focus

About the Role:

This is a high-impact data science role that blends quantitative research, machine learning, and natural language understanding (NLU) to uncover trading signals from financial news and social media. You’ll be building models that directly influence Binance’s trading strategies.

Key Responsibilities:

• Develop trading models using sentiment analysis, intent detection, and named entity recognition on text data
• Apply machine learning to large datasets to identify predictive signals
• Use statistical and time-series techniques to refine models
• Backtest strategies, optimize performance, and manage risk

Requirements:

• Bachelor’s or Master’s in CS, Stats, Math, or Financial Engineering
• Solid knowledge of NLU/NLP (e.g., sentiment, intent, NER)
• Strong coding skills in Python or R
• Experience with NLP libraries: SpaCy, NLTK, Hugging Face Transformers
• Skilled in ML frameworks: Scikit-learn, TensorFlow, or PyTorch
• Strong in probability, linear algebra, and time-series analysis
• Proficiency in Mandarin (for cross-team collaboration with Chinese-speaking counterparts)

Why Binance:

• Influence one of the most innovative sectors in global finance
• Collaborate with elite engineers, data scientists, and researchers
• Work remotely with autonomy in a flat, fast-paced environment
• Competitive pay, benefits, and upskilling opportunities

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