Quantitative Jobs in Web3

329 jobs found

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Job Position Company Posted Location Salary Tags

GSR

London, United Kingdom

$28k - $33k

GSR

London, United Kingdom

$36k - $60k

GSR

New York, NY, United States

$36k - $60k

GSR

New York, NY, United States

$36k - $60k

LATOKEN

London, United Kingdom

$30k - $70k

Ripple

San Francisco, CA, United States

$51k - $80k

GSR

London, United Kingdom

$28k - $33k

GSR

New York, NY, United States

$28k - $33k

GSR

London, United Kingdom

$36k - $60k

GSR

Singapore, Singapore

$28k - $33k

Paradigm

New York, NY, United States

$45k - $75k

Okcoin

San Francisco, CA, United States

$45k - $75k

BitMEX

Hong Kong, Hong Kong

$30k - $70k

BitMEX

Singapore, Singapore

$30k - $70k

Quantitative Trader London Thursday to Sunday

GSR
$28k - $33k estimated

This job is closed

GSR is a leading market-making and programmatic trading company in the exciting and fast-evolving world of cryptocurrency trading. We provide sophisticated execution and liquidity services to token projects, institutional and HNW investors, and crypto exchanges.

We are looking for a Quantitative Trader to join our global trading team on a full-time basis, working a Thursday to Sunday shift pattern. GSR is a leading programmatic trading company in the exciting and fast-evolving world of cryptocurrency trading. You will help to execute trades for GSR’s real-time programmatic trading including market making and risk management.

Founded in 2013, we specialize in providing liquidity, risk management and structured products to institutional participants in the digital asset ecosystem. Our team of veteran finance and technology executives from Goldman Sachs, Two Sigma, Citadel, Blackstone and Tower Research among others, has developed one of the world’s fastest and most robust trading platforms. 

GSR works with token issuers, traders, investors, miners, and more than 50 cryptocurrency exchanges around the world. As a founding member of The Association for Digital Asset Markets (ADAM), GSR is also a leader in establishing and maintaining industry standards and protocols to support the healthy development and evolution of the global digital assets serving key exchanges and clients globally. GSR is an international company with operations in the USA, Europe and Asia. 

GSR is proudly an Equal Employment Opportunity employer. We do not discriminate based upon any applicable legally protected characteristics such as race, religion, colour, country of origin, sexual orientation, gender, gender identity, gender expression or age. We operate a meritocracy, all aspects of people engagement from the decision to hire or promote as well as our performance management process will be based on the business needs and individual merit, competence in the role.

Learn more about us at www.gsr.io.

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.