Quantitative Jobs in Web3

346 jobs found

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Job Position Company Posted Location Salary Tags

Bullet

Remote

$90k - $115k

Gravity Team

Remote

$100k - $240k

Token Metrics

Austin, TX, United States

$32k - $81k

Dvtrading

New York, NY, United States

$77k - $105k

Selby Jennings

New York, NY, United States

$150k - $200k

Theo

New York, NY, United States

$105k - $125k

Impossible Cloud

Zug, Switzerland

$87k - $150k

Chainlink Labs

New York, NY, United States

$36k - $99k

Keyrock

Brussels, Belgium

$54k - $100k

Fuse Energy

London, United Kingdom

$84k - $85k

Venture Search

New York, NY, United States

$89k - $100k

Bitmex

Remote

$117k - $130k

Paradigm62

New York, NY, United States

$84k - $100k

Anchorage Digital

United States

$63k - $72k

Okx

Remote

$214k - $257k

Bullet
$90k - $115k estimated
Remote
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About Bullet

Bullet is bringing high-frequency trading infrastructure to Solana. The platform delivers sub-millisecond trade execution, a highly sophisticated multi-asset margin engine, and full-featured perpetuals, spot and lending markets built on central limit order books (CLOBs). We're redefining what's possible for on-chain trading by combining the speed and capital efficiency of traditional HFT with the transparency and composability of DeFi.

Bullet is backed by top investors from both traditional trading and crypto including Jump, Amber, Wintermute, Selini, Electric Capital, and Race Capital.

The Role

We're looking for a quantitative trader to design, implement, and manage our liquidity vault from the ground up. You'll bootstrap liquidity on our perpetuals and spot exchanges via a liquidity vault, manage cross-venue risk, and scale operations to handle external capital. This is a foundational role for someone who wants to build something from scratch with engineering support.

Responsibilities

  • Design and implement market making strategies for perpetuals and spot markets using an HLP->
  • Build trading infrastructure including execution systems, market data pipelines, and monitoring tools
  • Hedge and manage portfolio risk across external venues (Binance, Hyperliquid, etc.)
  • Develop backtesting frameworks to research and validate strategies
  • Scale vault operations to handle external capital with robust risk controls
  • Optimize vault parameters and strategy performance

Requirements

  • 2-4 years experience at a crypto market making firm, proprietary trading firm or hedge fund
  • Proven track record of consistently profitable trading strategies in any market or asset class, but ideally perpetuals and spot
  • Strong Python or Rust (both welcome)
  • Experience with exchange APIs, market data connectivity, and order execution
  • Deep understanding of perpetual futures mechanics, funding rates, and spot market microstructure
  • Solid intuition for market microstructure, risk management, and portfolio hedging
  • Self-motivated and independent worker who can figure things out without hand-holding
  • Excellent communication and collaboration skills

Nice to Haves

  • Experience building liquidity provision systems from scratch
  • Proficiency in both Python and Rust
  • Familiarity with DeFi protocols, Solana and on-chain market making
  • Prior experience managing external capital

What We Offer

  • Ground-floor opportunity to design and manage a liquidity vault for a high-growth DeFi protocol
  • Engineering support from an experienced team
  • Competitive compensation + token incentives
  • Small team, fast decisions, high autonomy
⬇
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.