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Home›Jobs›Binance›Data Scientist, NLP & Trading Strategies (Quantitative)
Binance

About Binance

The cryptocurrency exchange platform for traders worldwide

🏢 Tech, Finance, Financial Services👥 1001+ employees📅 Founded 2017📍 Level 3, Melita Court,, Triq Giuseppe Cali, Ta' Xbiex Malta💰 $2.0b⭐ 3.8
FintechB2CB2BCryptocurrencyInvestingBlockchain

Key Highlights

  • Processes over 1.4 million orders per second
  • Headquartered in Malta with 1001+ employees
  • $2 billion growth equity funding raised in 2025
  • Access to hundreds of digital currency pairs

Binance is a leading cryptocurrency exchange platform headquartered in Malta, processing over 1.4 million orders per second. With access to hundreds of digital currency pairs and some of the lowest trading costs in the industry, Binance has attracted a diverse user base, including both enthusiasts a...

🎁 Benefits

Binance offers competitive salaries with the option to be paid in cryptocurrency, comprehensive health insurance, and flexible working hours. Employee...

🌟 Culture

Binance fosters a fast-paced culture focused on security and execution speed, making it a top choice for cryptocurrency traders. The company values in...

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Binance

Data Scientist, NLP & Trading Strategies (Quantitative)

Binance • Asia

Posted 2 months agoMid-LevelData scientist📍 Asia
Apply Now →

Job Description

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

About the Role
As a Data Scientist focusing on Quantitative Trading NLP, you will leverage natural language understanding techniques such as sentiment analysis, intent recognition, and named-entity extraction on financial news, social media, and other text streams to develop and refine algorithmic trading strategies.

You’ll design and implement machine-learning models in Python, apply advanced mathematical and time-series analysis to uncover predictive signals, and rigorously backtest and optimize strategies to maximize returns while managing risk. Collaboration and clear communication across data science and trading teams are key to iteratively improving model performance and driving data-informed investment decisions.

Interested in this role?

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