Quantitative Trading Strategy Algorithm Engineer (Fully Remote)

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

• Build an AI-driven trading system covering traditional and on-chain assets.
• Collaborate with engineering and data teams for full lifecycle development.

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.

Requirements:

• 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.

Why Binance:

• Shape the future with a leading blockchain ecosystem.
• Collaborate with world-class talent in a flat, user-centric organization.

Binance

Binance is a leading global blockchain ecosystem and the world’s largest cryptocurrency exchange by trading volume, trusted by over 300 million users in 100+ countries. With a flat structure and world-class talent, the company fosters a fast-paced, results-driven culture focused on innovation and financial inclusion.