Quantitative Jobs in Web3

339 jobs found

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Job Position Company Posted Location Salary Tags

Monad Foundation

Remote

$86k - $110k

Numus

Remote

$96k - $115k

Monad

New York, NY, United States

$74k - $100k

Confusion Capital

Remote

$180k - $220k

Numus

Remote

$105k - $120k

Qube Research & Technologies

Remote

$64k - $85k

Token Metrics

Barcelona, Spain

$89k - $102k

Stealth

New York, NY, United States

$200k - $250k

Cyber Capital

Amsterdam, Netherlands

$105k - $108k

Keyrock

Brussels, Belgium

$72k - $85k

Swissblock

Baar ZG

$90k - $100k

InfiniteQuant

New York, NY, United States

$72k - $120k

Keyrock

London, United Kingdom

$105k - $150k

Binance

Asia

Kronos Research

Singapore, Singapore

$84k - $100k

Monad Foundation
$86k - $110k estimated
Remote
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At Monad Foundation, we are a team of dedicated ecosystem and community builders who are on a mission to usher in a future powered by blockchain technology. We believe that the Monad blockchain--a performant and parallel EVM Layer 1--can bring that future into the present.

The Role

We are looking for an exceptional quant to work on data science and machine learning problems in the blockchain space.  The work will be challenging, as it will involve predictive modeling for a variety of topics like transaction dependencies, user behavior, network behavior, etc.  We’re looking for someone who has excelled in other environments where predictive analytics had a direct impact on the bottom line, such as high-frequency trading or traditional tech.  Your work will directly impact the performance and economics of one of the biggest upcoming blockchain projects in the space.

What You Will Do

  • Work on greenfield predictive modeling problems related to blockchain performance and system/user behavior. Problems may be open-ended; you’ll have to devise and prototype a variety of approaches before finding the correct solution.

  • Implement production-grade solutions and take end-to-end ownership of production prediction pipelines.

Who You Are

  • At least 3 years of experience building predictive models, preferably at a HFT firm

  • You’re creative, self-motivated and independent

  • You have excellent knowledge of predictive modeling techniques including linear regression, decision trees, and neural nets

  • You know numpy and pandas like the back of your hand

  • You’ve built something significant from scratch

  • Bonus: You are crypto-native

Why Work with Us

  • Challenging problems. You’ll work on extremely challenging problems with massive impact.

  • Huge opportunity. The Ethereum Virtual Machine (EVM) standard is ubiquitous, but existing EVM-compatible chains are slow and bandwidth-constrained. Monad’s core innovations offer developers the best of both worlds (portability and performance) and are a game-changer for mass user adoption in crypto.

  • The right team. You’ll be part of an exceptional and highly-motivated team

  • Culture. We’re a lean team working together to achieve very ambitious goals. We are united in our culture of collaboration, low ego, and high-quality output. As an early member of our team, you’ll help continue to shape our culture.

Salary and Benefits

Benefits for full-time employees include medical, dental, and vision insurance (100% coverage for employees); generous paid time off; paid parental leave; and 10 company-observed holidays.

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Apply Now

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.