Rust Web3 Jobs in United States

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Job Position Company Posted Location Salary Tags

Joseph Anthony Group

New York, NY, United States

$125k - $150k

Polymarket

New York, NY, United States

$119k - $120k

Stable Naira

Los Angeles, CA, United States

$77k - $100k

Mindlance

Dallas, TX, United States

$153k - $163k

Accroid Inc

Chicago, IL, United States

$90k - $105k

Global Settlement Network

Miami, FL, United States

$105k - $108k

Polymarket

New York, NY, United States

$91k - $150k

Centraprise

Charlotte, NC, United States

$63k - $112k

JPC TECHNO INC

Chicago, IL, United States

$140k - $150k

Kastech Software Solutions Group

Chicago, IL, United States

$140k - $150k

Galaxy

New York, NY, United States

$200k - $250k

Centraprise

Charlotte, NC, United States

$104k - $148k

Galaxy

New York, NY, United States

$105k - $120k

Evolutyz Corp

United States

$140k - $150k

JPC TECHNO INC

Chicago, IL, United States

$63k - $65k

Joseph Anthony Group
$125k - $150k
New York City Metropolitan Area US


We’ve partnered with a high-growth technology company building purpose-built blockchain infrastructure for financial applications. The firm develops interoperable Web3 systems and decentralized finance products that power trading, derivatives, and cross-chain liquidity across digital asset markets.


They are hiring a Quantitative Researcher to join a New York-based quantitative team. The role focuses on analyzing crypto market structure and developing systematic trading strategies within decentralized environments. This position is well-suited to someone experienced working with real-time data and algorithmic trading models.


Responsibilities


  • Analyze market microstructure and on-chain data to identify inefficiencies
  • Develop statistical and machine learning models for trading strategies
  • Design and implement market-making, arbitrage, and systematic strategies
  • Build and maintain research pipelines and optimization tools
  • Develop and run backtesting frameworks
  • Contribute to trading infrastructure including order management and connectivity
  • Build scalable data pipelines and research environments
  • Optimize system performance, latency, and reliability
  • Implement risk monitoring and controls
  • Conduct post-trade analysis including slippage and market impact
  • Create dashboards and reporting tools
  • Run simulations to evaluate execution and liquidity

Qualifications


  • M.S. or Ph.D. in a quantitative field
  • 3–5 years of experience in quantitative research or development
  • Experience in high-frequency or low-latency environments

Required Skills


  • Strong background in statistics, probability, and time-series analysis
  • Advanced Python skills
  • Experience with C++ or Rust
  • Solid understanding of data structures and algorithms
  • Experience with backtesting and strategy development
  • Ability to work with large datasets and validate results
  • Understanding of financial markets and risk management

Preferred Skills


  • Experience with machine learning or distributed systems
  • Familiarity with Linux environments
  • Exposure to crypto markets or blockchain data
  • Experience with real-time trading systems and APIs
  • Understanding of blockchain or smart contracts
  • Background in fintech or trading firms
  • Relevant certifications or published research

Pay range and compensation package


  • Competitive base and performance incentives
  • Equity or token participation
  • Health benefits
  • Flexible PTO
  • Home office and equipment support
  • Flexible work schedule
  • Work on advanced financial technology
  • Collaborative team environment