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About the Company and Role
A small and highly technical crypto prop trading firm running fully systematic strategies is looking for a new junior to mid-level Quant Trader/Researcher. The team is lean and engineering-driven, with traders closely involved in Python development, live trading infrastructure, execution logic, and trade monitoring, and they maintain a very high technical bar.
The main desks hiring are DeFi and TradFi, which is a new business.
What they are looking for:
- 1–5 years in a production-heavy role spanning implementation, trading, and tooling (not purely research/alpha generation).
- Strong Python skills.
- Fully systematic ETF, Equity, Futures, Crypto, and FX would all be relevant backgrounds.
- HFT is a strong preference.
Pay range and compensation package
Salary is based on experience.
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.