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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