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A top-tier high-frequency proprietary trading firm based in New York is seeking experienced Quantitative Crypto Traders to join its growing digital assets team. The firm offers flexibility for remote work and provides access to world-class research, execution, and risk management infrastructure.
This role is ideal for someone who thrives in fast-paced environments and is passionate about building and deploying high-performance strategies across DeFi, CeFi, and hybrid venues. Whether you're optimizing MEV extraction, designing cross-chain arbitrage, or building predictive models for token flows, you'll have the autonomy and resources to push boundaries.
Responsibilities
- Design, develop, and manage systematic trading strategies across digital asset markets.
- Conduct alpha research using large datasets and advanced modeling techniques.
- Collaborate with engineering and infrastructure teams to optimize execution and latency.
- Monitor strategy performance and adapt models to changing market conditions.
- Stay informed on crypto market structure, exchange dynamics, and emerging trends.
Requirements
- 3+ years of live trading experience with a proven track record in quantitative or systematic strategies.
- Deep understanding of cryptocurrency markets, DeFi protocols, and blockchain infrastructure.
- Experience operating in mid- to high-frequency trading environments.
- Strong programming skills (Python, C++, or similar) and proficiency with data analysis tools.
- Solid grasp of market microstructure, derivatives, and statistical modeling.
- Experience with machine learning or AI-driven approaches is a plus.
- Ability to work independently in a fast-paced, remote-friendly environment.
Compensation
- Highly competitive base salary + performance-based bonus.
- Compensation structure tailored to experience and strategy contribution.
What is a quantitative career?
A quantitative career is a profession that involves using mathematical, statistical, and computational techniques to solve problems and make decisions in a wide range of industries, including finance, engineering, healthcare, and technology
A quantitative career in Web3 involves using mathematical, statistical, and computational techniques to analyze and optimize decentralized finance (DeFi) protocols, blockchain networks, and other Web3 applications
Some examples of quantitative careers include:
- Quantitative Analyst: A professional who uses mathematical models and statistical analysis to identify and quantify risks and opportunities in financial markets.
- Data Scientist: A professional who analyzes complex data using statistical methods, machine learning, and other techniques to help organizations make data-driven decisions.
- Actuary: A professional who uses mathematical models and statistical analysis to assess risk and uncertainty in the insurance and finance industries.
- Quantitative Developer: A professional who develops and implements quantitative models and trading strategies for financial institutions and other organizations.
- Operations Research Analyst: A professional who uses mathematical and statistical techniques to optimize complex systems, such as supply chains, transportation networks, and manufacturing processes.