Senior Algorithmic Trader & Liquidity Researcher (Remote-First)

Binance; Singapore; Remote; SGD 180,000 - 300,000; Full time

Job summary

Binance, a leading global blockchain ecosystem and the world’s largest cryptocurrency platform by volume, seeks a senior quantitative trading expert to design and manage high-performing algorithmic strategies across products. You will own the strategy development roadmap, work with quant developers to deploy strategies, and ensure robust risk controls and instrument onboarding.

The role requires a strong academic background, 5+ years in quant trading, and proficiency in Python and SQL (C++/Rust

Qualifications

• Master’s degree in a quantitative field (Math, Stats, Physics, Engineering, CS).
• 5+ years in a similar quantitative trading role with a track record.
• Experience in market microstructure and order-book analysis.
• Algorithmic trading and execution strategy design experience.
• Quantitative modeling and translating specs to developers.
• Strong Python and SQL skills; C++ or Rust is a plus.

Responsibilities

• Design, operate, and continuously improve high-performing algorithmic strategies.
• Own strategies development and growth roadmap aligned with business mandates.
• Work with quant developers to deploy strategies and risk controls.
• Collaborate with operations and other stakeholders for onboarding instruments.
• Initiate projects to innovate trading and execution across platforms and on-chain.

Skills

Analytical skills

Problem-solving

Communication

Independent worker

Self-motivated

Education

Master's degree in quantitative field

Tools

Python

SQL

C++

Rust

Job description

Binance, a leading global blockchain ecosystem and the world’s largest cryptocurrency platform by volume, seeks a senior quantitative trading expert to design and manage high-performing algorithmic strategies across products. You will own the strategy development roadmap, work with quant developers to deploy strategies, and ensure robust risk controls and instrument onboarding.

The role requires a strong academic background, 5+ years in quant trading, and proficiency in Python and SQL (C++/Rust