Quantitative Trader Jobs in Web3

49 jobs found

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Job Position Company Posted Location Salary Tags

Warlock Labs

Remote

$174k - $274k

Tokka Labs

Singapore, Singapore

$105k - $150k

Anti Capital

New York, NY, United States

$105k - $180k

Stealth

New York, NY, United States

$200k - $250k

Keyrock

Brussels, Belgium

$72k - $85k

Gravity Team

Remote

$100k - $216k

Keyrock

London, United Kingdom

$105k - $150k

Kronos Research

Shanghai, China

$140k - $150k

OKX

Hong Kong, Hong Kong

$105k - $150k

B2C2

Remote

$94k - $110k

OKX

Hong Kong, Hong Kong

$105k - $120k

Stealth

New York, NY, United States

$140k - $150k

Stealth

New York, NY, United States

$140k - $150k

Crypto.com

Coral Gables, Florida

$140k - $180k

Warlock Labs
$174k - $274k
Remote
Apply
Who We Are:

Warlock is a crypto-native market maker and solver, we’re seeking an MEV engineer to drive innovation and build out cutting edge trading systems. In this role, you'll dive deep into the frontiers of MEV, DeFi and cryptoeconomics and collaborate on multiple projects spanning different codebases. We specialize in market making, liquidity provision and a broad range of on chain operations.

What You'll Do:

  • Investigate new opportunities and strategies in the MEV and DeFi ecosystem
  • Build out trading systems for our atomic and non-atomic strategies
  • Analyze complex protocols, smart contracts, and market dynamics
  • Gather, curate & analyze data within the MEV space to drive trading decisions and outcomes
  • Develop models and simulations to validate strategies and optimizations
What We're Looking For:

  • Proficiency programming in Rust
  • Familiarity with smart contract development, the EVM and MEV
  • High level understanding of high-frequency market making strategies
  • Strong background in statistics and quantitative methods
Bonus Points:

  • Familiarity with Linear for project management
  • An advanced degree in Computer Science, Mathematics, Physics or a related field
  • Open-source contributions or independent research publications
  • Research track record in cryptoeconomics, DeFi or MEV
Why Warlock?

  • Well capitalized with highly competitive compensation
  • Fully remote, async work environment, team offsites
  • Budget for research equipment, publications and conference attendance
  • Collaborative, high-caliber team with background from organizations like Citadel, Tower Research, CERN and Bloomberg
  • Opportunity to shape a nascent field with massive potential
  • For US employees: 401k, Health, Vision, Dental, PTO, HSA
⬇
Apply Now

What does a Quantitative trader do?

A Quantitative Trader is a professional who uses quantitative models and statistical analysis to make trading decisions in financial markets

They work for hedge funds, investment banks, proprietary trading firms, and other financial institutions

In Web3, a Quantitative Trader uses quantitative models and statistical analysis to make trading decisions in decentralized finance (DeFi) and other Web3 applications

They work for DeFi protocols, investment funds, and other financial institutions involved in Web3

The job of a Quantitative Trader typically involves the following tasks:

  1. Developing and testing trading models for DeFi: Quantitative Traders in Web3 develop and test trading models that use statistical analysis, machine learning, and other quantitative techniques to identify profitable trading opportunities in decentralized finance protocols.
  2. Conducting market research in Web3: Quantitative Traders in Web3 conduct research on decentralized finance protocols, including analyzing on-chain data, tracking current market trends, and assessing the impact of new developments in the ecosystem.
  3. Managing risk: Quantitative Traders in Web3 manage risk by developing strategies to limit potential losses and control exposure to market volatility in decentralized finance protocols.
  4. Executing trades: Quantitative Traders in Web3 execute trades based on their models and research findings, using automated trading systems and other tools to maximize efficiency.
  5. Monitoring performance: Quantitative Traders in Web3 monitor the performance of their trading strategies, making adjustments as needed to optimize profitability in the rapidly changing Web3 ecosystem.