Data Scientist - Trading insight - Singapore

Binance; Singapore; Remote; USD 80,000 - 150,000; Full time

Job summary

Join a forward-thinking company at the forefront of the blockchain revolution as a Data Scientist specializing in Trading Insights. In this dynamic role, you'll develop and optimize cutting-edge quantitative strategies that drive trading systems in the fast-paced world of crypto. Collaborate with a global team to tackle complex challenges, utilizing your expertise in data science and machine learning. With a focus on innovation and continuous learning, you'll have the opportunity to make a real impact while enjoying competitive pay and flexible work arrangements. This is your chance to shape the future of finance!

Benefits

Competitive Pay

Comprehensive Benefits

Remote Flexibility

Continuous Learning Opportunities

Qualifications

• 3+ years in quantitative or algorithmic trading.
• Strong coding skills in Python with experience in data science.

Responsibilities

• Design and refine algorithmic trading strategies using statistical modeling.
• Mine datasets for predictive indicators and alpha.

Skills

Python

Statistical Modeling

Machine Learning

Algorithmic Trading

Probability Theory

Time-Series Modeling

C++

Education

Bachelor's in Computer Science

Master’s in Math

PhD in Statistics

Tools

NumPy

pandas

scikit-learn

PyTorch

kdb+/q

Job description

Crypto Jobs

Job Description

About Binance

Binance is the world’s leading blockchain ecosystem and digital asset exchange, trusted by over 250 million users in 100+ countries. Our mission is to advance the freedom of money through innovation in crypto trading, Web3, and financial access.

Role Overview

As a Data Scientist – Trading Insight, you will work on developing and optimizing quantitative strategies that power Binance’s trading systems. This is a high-impact, technical role that combines data science, trading strategy, and machine learning in the fast-moving world of crypto.

Key Responsibilities

• Strategy Development: Design and refine algorithmic trading strategies using statistical modeling and machine learning
• Market Signal Research: Mine massive datasets (order book, tick-level, on-chain, macro) for predictive indicators and alpha
• Backtesting & Simulation: Build simulation frameworks to validate trading hypotheses under various scenarios
• ️ Execution Optimization: Collaborate with engineers to integrate models into low-latency systems
• Portfolio Analytics: Perform post-trade analysis and contribute to performance decomposition and optimization

Qualifications

• Bachelor's, Master’s, or PhD in Computer Science, Math, Statistics, or related field
• 3+ years (mid-level) or 6+ years (senior) in quantitative or algorithmic trading
• Strong coding skills in Python (NumPy, pandas, scikit-learn, PyTorch); C++ experience is a plus
• Experience with market microstructure and tick-level/order book data
• Solid foundation in probability theory, time-series modeling, and optimization
• Bonus: Familiarity with kdb+/q, high-frequency trading systems, and crypto market structure (CEX/DEX/derivatives)

Why Join Binance?

Shape the future of finance

Collaborate globally in a flat, fast-moving org

Work with autonomy on cutting-edge problems

Grow through continuous learning and real-world impact

Competitive pay and comprehensive benefits

Remote flexibility depending on team needs

Apply Now

Join Binance and help redefine the boundaries of trading and data science.

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