Quantitative Jobs in Web3

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Job Position Company Posted Location Salary Tags

Drift Protocol

Australia

$120k - $170k

Nogle

Taipei, Taiwan

$122k - $153k

Digital Currency Group

Stamford, CT, United States

$90k - $159k

Stealth

New York, NY, United States

$84k - $100k

Wintermute

London, United Kingdom

$84k - $100k

Crypto.com

Hong Kong, Hong Kong

$91k - $150k

Openmesh

Sydney, Australia

$54k - $100k

InfiniteQuant

New York, NY, United States

$72k - $96k

Tokemak

Remote

$200k - $300k

Snowfork huB

Remote

$105k - $108k

Snowfork

United States

$105k - $108k

Coins.ph

Shanghai, China

$25k - $100k

Gauntlet

Los Angeles, CA, United States

$150k - $180k

Gauntlet

Remote

$150k - $180k

Kronos Research

Taipei, Taiwan

$89k - $102k

Drift Protocol
$120k - $170k
Australia
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About Drift Labs

Drift Labs is the core contributor to Drift Protocol, the largest perpetuals DEX on Solana. Drift Protocol’s goal is to make DEXs the best way to trade derivatives. Despite the decentralized nature of crypto, centralized derivatives exchanges still remain dominant - they're already fast, familiar and reliable however lack immutability and transparency.

Drift’s vision is to create a centralised user experience built on decentralised rails. We’re backed by Multicoin Capital, Polychain Ventures, Ethereal and many more. The team is made up of experienced traders and builders from DeFi and traditional finance working to make this a reality.

The Opportunity

Drift is looking for an MEV researcher to be a core member of our infrastructure and trading team. You'll be expected to build and maintain core infrastructures for off-chain bots that ensure maximal price efficiency on Drift's DEX. Additionally, you’ll have an opportunity to work across our entire Solana stack on cutting-edge technology that revolutionizes the way we trade digital assets.

Drift Labs pays a competitive salary with upside potential.

Your Role

  • Work on Just-in-Time auction trading algorithms that maximize yield for MMs and maximizes exchange liquidity
  • Build open-source bot examples for MEV arbitrage opportunities across the exchange
  • Ensure 24/7 uptime for arbitrage and liquidation bots, keeping prices on DEX in line with oracle prices
  • Develop, backtest and execute MEV-focused algorithmic strategies
  • Write and deploy production quality code to integrate new trading strategies in our current set
  • Develop monitoring and reporting systems around strategy performance

Requirements

  • Experience managing day-to-day operations of software infrastructure and maintenance of trading systems
  • Algorithmic trading experience with a previous track record is required, whether personal or professional experience
  • Previous experience with algorithmic trading on DEXes
  • Understanding of and experience building basis and arbitrage strategies
  • Strong communication skills and collaborative mindset
  • High level of ownership and accountability, reliability, and strong follow through
  • Ability to handle pressure and time constraints with composure

Nice to Haves

  • Quantitative degree in Maths, Statistics, Computer Science, Physics or related qualitative field
  • 3+ years of experience with building and maintaining algorithmic trading systems and/or trading infrastructure

Perks

  • Remote first - work from anywhere, but a home base in Australia or the North America is preferable
  • International team meets
  • Stipend for technology costs

Drift is an equal opportunity employer and we value diversity at our company. All aspects of employment are based on merit, performance, and business needs. We do not discriminate based upon race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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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.