Junior Quantitative Researcher (Fresh STEM PhD graduates are welcome)

About Binance

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

Position

We are building out a new research function at the intersection of artificial intelligence and quantitative trading to improve the efficiency of execution algorithm models and more. We are looking for a Junior Quantitative Researcher to be a founding member of this effort. You will work alongside senior quants, engineers, and traders to design AI-driven workflows that generate alpha signals, diagnose model and PnL behavior, and deepen our understanding of market microstructure.

Responsibilities

• Collaborate with senior quants, engineers, and traders to develop AI-driven workflows that generate actionable alpha signals.
• Diagnose and interpret model performance and PnL behavior within execution algorithms and market microstructure contexts.
• Contribute to research initiatives at the intersection of artificial intelligence and quantitative trading.
• Design and validate experiments, analyze results, and communicate findings to the team.
• Work with modern AI tooling, including LLM-based agents, to enhance research and trading workflows.

Qualifications

• Genuine enthusiasm for financial markets and quantitative research.
• Strong research background with demonstrated ability to conduct rigorous analysis.
• Experience with modern AI tooling, including large language model–based agents or related AI workflows.
• Open to hiring at the fresh-PhD level, provided you can demonstrate research depth and a real interest in trading.