Quantitative Trading Strategy Algorithm Engineer (Fully Remote)

Posted yesterday

binanceRemote

Financial Quantitative Analysts Portfolio Management and Investment Advice

SENIORITY

Lead

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About the role

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.

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