Quantitative Jobs in Web3

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Job Position Company Posted Location Salary Tags

Drift Labs

New York, NY, United States

$45k - $90k

Algo Capital Group

New York, NY, United States

$150k - $200k

Genesis Global Trading, Inc.

New York, NY, United States

Cyber Capital

Amsterdam, Netherlands

$28k - $100k

GSR

London, United Kingdom

GSR

London, United Kingdom

$54k - $87k

Skyrocket Ventures

New York, NY, United States

$150k - $250k

Anonym

Palo Alto, CA, United States

Drift Protocol

Remote

$45k - $100k

Drift Protocol

Remote

$45k - $100k

Anchorage Digital

United States

$14k - $33k

OKX

Hong Kong, Hong Kong

$25k - $60k

GSR

London, United Kingdom

OKX

Hong Kong, Hong Kong

$87k - $2k

Coins.ph

Singapore, Singapore

Quantitative Researcher

Drift Labs
$45k - $90k estimated

This job is closed

About Drift Labs

Drift is a leading derivatives DEX building perpetual swaps on Solana. Our mission is to bring state-of-the-art trader-centric experience from centralized exchanges on-chain. We're a team of experienced traders and builders from DeFi and traditional finance working together to make this a reality.

Within five months of launching, we have:

  • Hit $10B in cumulative volume traded;
  • Achieved over $50M in trader open interest with $13M in collateral vault balance;
  • Launched 21 trading markets.

The Opportunity

Drift Labs is looking for a Quant Researcher to be a core member of our research team to build, scale, maintain, and spearhead the expansion of our decentralized derivatives protocol. You’ll help determine the strategies for optimizing the ‘Liquidity Trifecta’: research, propose, and design protocol enhancements as well as run simulations to track and measure risks across market scenarios.

Your Role
  • Design sustainable liquidity solutions, protocol incentives, and formulaic parameter updates
  • Run simulations to track and measure risks across market scenarios
  • Ensure code and data quality to showcase reproducible work
  • Proactively engage giga brain community members

Requirements

Your Experience
  • Proficiency with Rust and/or Python, including developing production quality software
  • Deep understanding of AMMs while proactive engaging in new developments
  • Track record of going from theoretical concepts to practical design, building, scaling and maintenance.
  • Strong communication & writing skills
  • Passion for DeFi, market microstructure, and cryptocurrencies
  • 3+ years as a quant researcher, data scientist or relevant discipline
  • Advanced Degree in Computer Science, Mathematics, Statistics or relevant discipline

Nice to Have
  • Experience with any blockchain at the protocol level
  • Understanding of perpetual futures, options, margin trading and other derivatives products
  • Familiarity with the Solana blockchain and building applications on Solana
  • Experience in data visualization frameworks

Drift's Development Stack
  • Frontend: Typescript + React
  • Smart Contracts: Rust (using Anchor framework)
  • Backend: MySQL
  • Infrastructure: AWS

Benefits

Perks
  • Remote first - work from anywhere
  • International team meets
  • Stipend for laptop

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, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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.