Quantitative Jobs in Web3

359 jobs found

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Job Position Company Posted Location Salary Tags

Radley James

New York, NY, United States

$64k - $100k

Keyrock

London, United Kingdom

$77k - $84k

Arrakis Finance

Switzerland

$32k - $87k

Gsrmarkets

Remote

$90k - $120k

Crypto.com

Hong Kong, Hong Kong

$112k - $156k

Keyrock

London, United Kingdom

$64k - $125k

Chaos Theory

Hong Kong, Hong Kong

$110k - $111k

Divine

San Francisco, CA, United States

$121k - $164k

MLabs

New York, NY, United States

$140k - $300k

Numus

Remote

$85k - $120k

Coins.ph

Shanghai, China

$81k - $84k

Token Metrics Inc.

London, United Kingdom

$28k - $38k

Token Metrics Inc.

London, United Kingdom

$28k - $38k

Dvtrading

Remote

$105k - $153k

Kronosresearch

Remote

$89k - $102k

Radley James
$64k - $100k estimated
New York City Metropolitan Area US

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:

  1. Quantitative Analyst: A professional who uses mathematical models and statistical analysis to identify and quantify risks and opportunities in financial markets.
  2. Data Scientist: A professional who analyzes complex data using statistical methods, machine learning, and other techniques to help organizations make data-driven decisions.
  3. Actuary: A professional who uses mathematical models and statistical analysis to assess risk and uncertainty in the insurance and finance industries.
  4. Quantitative Developer: A professional who develops and implements quantitative models and trading strategies for financial institutions and other organizations.
  5. Operations Research Analyst: A professional who uses mathematical and statistical techniques to optimize complex systems, such as supply chains, transportation networks, and manufacturing processes.