Quantitative Researcher

About the role

br> p>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. /p> p> br> /p> p>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. /p> p> br> /p> p> strong>Responsibilities /strong> /p> p> br> /p> ul> li>Analyze market microstructure and on-chain data to identify inefficiencies /li> li>Develop statistical and machine learning models for trading strategies /li> li>Design and implement market-making, arbitrage, and systematic strategies /li> li>Build and maintain research pipelines and optimization tools /li> li>Develop and run backtesting frameworks /li> li>Contribute to trading infrastructure including order management and connectivity /li> li>Build scalable data pipelines and research environments /li> li>Optimize system performance, latency, and reliability /li> li>Implement risk monitoring and controls /li> li>Conduct post-trade analysis including slippage and market impact /li> li>Create dashboards and reporting tools /li> li>Run simulations to evaluate execution and liquidity /li> /ul> p> br> /p> p> strong>Qualifications /strong> /p> p> br> /p> ul> li>M.S. or Ph.D. in a quantitative field /li> li>3-5 years of experience in quantitative research or development /li> li>Experience in high-frequency or low-latency environments /li> /ul> p> br> /p> p> strong>Required Skills /strong> /p> p> br> /p> ul> li>Strong background in statistics, probability, and time-series analysis /li> li>Advanced Python skills /li> li>Experience with C++ or Rust /li> li>Solid understanding of data structures and algorithms /li> li>Experience with backtesting and strategy development /li> li>Ability to work with large datasets and validate results /li> li>Understanding of financial markets and risk management /li> /ul> p> br> /p> p> strong>Preferred Skills /strong> /p> p> br> /p> ul> li>Experience with machine learning or distributed systems /li> li>Familiarity with Linux environments /li> li>Exposure to crypto markets or blockchain data /li> li>Experience with real-time trading systems and APIs /li> li>Understanding of blockchain or smart contracts /li> li>Background in fintech or trading firms /li> li>Relevant certifications or published research /li> /ul> p> br> /p> p> strong>Pay range and compensation package /strong> /p> p> br> /p> ul> li>Competitive base and performance incentives /li> li>Equity or token participation /li> li>Health benefits /li> li>Flexible PTO /li> li>Home office and equipment support /li> li>Flexible work schedule /li> li>Work on advanced financial technology /li> li>Collaborative team environment /li> /ul> p> br> /p>

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