Rust Web3 Jobs in New York, New York, United States

415 jobs found

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Job Position Company Posted Location Salary Tags

Selby Jennings

New York, NY, United States

$84k - $150k

in-House Anonymous

New York, NY, United States

$122k - $150k

Strativ Group

New York, NY, United States

$180k - $250k

Superstate

New York, NY, United States

$105k - $112k

CAIZ

New York, NY, United States

$122k - $150k

Keyrock

New York, NY, United States

$36k - $75k

Keyrock

New York, NY, United States

$85k - $90k

NFTeria

New York, NY, United States

$63k - $110k

LI.FI

New York, NY, United States

$105k - $120k

N1

New York, NY, United States

$120k - $240k

TipLink

New York, NY, United States

$36k - $70k

Composable Foundation

New York, NY, United States

$84k - $107k

molecule.xyz

New York, NY, United States

$76k - $90k

Blockdaemon

New York, NY, United States

$105k - $107k

Anti Capital

New York, NY, United States

$105k - $180k

Selby Jennings
$84k - $150k estimated
NY New York US
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Company Overview:



Partnered with a leading digital asset management firm specializing in high-frequency and algorithmic trading strategies across the crypto markets. Our team consists of world-class quantitative researchers, engineers, and traders leveraging advanced mathematical models, data-driven insights, and cutting-edge technology to gain a competitive edge. We are seeking a Sr. QR with expertise in systematic trading strategies to drive alpha generation.



Key Responsibilities:

  • Design, develop, and refine systematic trading strategies in high-frequency and algorithmic crypto markets.
  • Conduct rigorous quantitative research and statistical modeling to identify market inefficiencies, arbitrage, and liquidity opportunities in centralized (CEX) and decentralized (DEX) markets.
  • Develop predictive models and machine learning techniques for alpha signal generation and execution optimization.
  • Collaborate with engineers to enhance backtesting frameworks, trading infrastructure, and low-latency execution systems.
  • Analyze high-frequency market data, order book dynamics, and liquidity patterns to improve trading performance.
  • Optimize risk-adjusted returns by implementing robust portfolio and risk management frameworks.
  • Stay ahead of the evolving crypto landscape, exploring new DeFi protocols, derivative markets, and trading venues.

Qualifications:

  • Proven experience as a Quantitative Researcher in crypto trading, HFT, or systematic trading.
  • Strong mathematical and statistical foundation with expertise in probability, stochastic processes, optimization, and time-series analysis.
  • Programming proficiency in Python, C++, Rust, or Java for research, strategy development, and automation.
  • Deep understanding of crypto market microstructure, execution algorithms, and liquidity dynamics.
  • Experience with machine learning, reinforcement learning, or alternative data sources is a plus.
  • Ability to work in a fast-paced, high-pressure environment and adapt to evolving market conditions.
  • Ph.D. or Master's degree in a quantitative field (Mathematics, Physics, Computer Science, Finance, etc.) preferred.