AI-Driven Quant Trading Architect

Binance; United States; Remote; USD 130,000 - 230,000; Full time

Benefits offered by this job

Flat structure

World-class talent

Job summary

Binance is seeking an experienced quantitative researcher to build an AI-driven trading system spanning traditional and on-chain assets. You will collaborate with engineering and data teams to drive full lifecycle development and ensure robust strategy performance.

Role focuses on discovering trading factors, designing predictive models, and leading backtesting plus live deployment validation, owning P&L and the end-to-end pipeline. Strong Python and ML/DL expertise required.

Qualifications

• Master's degree or above in a quantitative field.
• Proven experience in quantitative trading strategy R&D.
• Proficient in Python and skilled in ML/DL applications.
• Familiarity with market trading mechanisms and data characteristics.
• Strong research capability and results-driven mindset.

Responsibilities

• Discover, construct, and validate trading factors from diverse data sources.
• Design and optimize prediction models to improve signal accuracy and control overfitting.
• Lead backtesting and live deployment validation, owning strategy P&L.
• Build and refine the end-to-end quantitative trading pipeline.
• Explore AI trading across traditional and on-chain markets.

Skills

Python

ML/DL applications

Quantitative trading

Education

Master's degree in quantitative field

Job description

Binance is seeking an experienced quantitative researcher to build an AI-driven trading system spanning traditional and on-chain assets. You will collaborate with engineering and data teams to drive full lifecycle development and ensure robust strategy performance.

Role focuses on discovering trading factors, designing predictive models, and leading backtesting plus live deployment validation, owning P&L and the end-to-end pipeline. Strong Python and ML/DL expertise required.