Quantitative Jobs in Web3

248 jobs found

Receive emails of Quantitative Jobs in Web3
Job Position Company Posted Location Salary Tags

Marshall Wace

London, United Kingdom

$35k - $70k

Ripple

Toronto, Canada

$72k - $75k

GSR

Singapore, Singapore

$28k - $33k

GSR

New York, NY, United States

$70k - $100k

GSR

London, United Kingdom

$42k - $87k

GSR

New York, NY, United States

$42k - $87k

GSR

London, United Kingdom

$28k - $33k

GSR

Singapore, Singapore

$28k - $33k

GSR

New York, NY, United States

$28k - $33k

CoinList

San Francisco, CA, United States

$32k - $92k

Kronos Research

Remote

$28k - $72k

SALT

Toronto, Canada

$86k - $110k

SALT

Chicago, IL, United States

$86k - $110k

Sygnum Bank AG

Switzerland

$72k - $100k

XBTO

New York, NY, United States

$18k - $27k

Crypto Quantitative Researcher

Marshall Wace
$35k - $70k estimated

This job is closed

We are seeking people with experience building systematic crypto strategies to join our Quantitative Research team. This role requires a deep understanding of blockchain technology and the digital assets ecosystem. Please be aware that due to the high volume of applications received, we may take some time before responding.

Our quantitative researchers are a group of talented individuals with specialisations in a range of subjects including maths, physics, engineering and computer science. They’re responsible for conceptualising, developing and analysing models for use in our quantitative and systematic strategies as well as our electronic trading processes. They look to reduce risk and cost while maximising returns. They have access to a wealth of tools designed to help them build complex models with ease

Please submit your cv.

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.