
Quant Researcher
Posted Jul 18

Posted Jul 18
This is a fully remote position, open to applicants in New York.
• Conduct analysis of market microstructure and on-chain data to uncover inefficiencies and trading opportunities.
• Utilize statistical and machine-learning methodologies to create, validate, and enhance trading signals.
• Design and execute end-to-end market-making, arbitrage, and systematic strategies.
• Develop and sustain signal-generation pipelines, feature stores, and tools for parameter optimization.
• Create robust backtesting frameworks and perform performance analysis and attribution.
• Implement components of trading systems, including order management and exchange connectivity.
• Construct and manage data pipelines and research platforms for high-quality, reproducible research.
• Ensure reliability, scalability, and optimization of latency/performance in production systems.
• Establish risk monitoring and control systems across various strategies and venues.
• Conduct post-trade analytics to assess execution quality, slippage, and market impact.
• Generate risk metrics, dashboards, and reporting tools for the oversight of strategy and portfolio.
• Execute simulations and assess market impact for both liquid and illiquid assets.
• M.S. or Ph.D. in Mathematics, Physics, Statistics, Computer Science, or a related quantitative discipline.
• 3–5 years of experience in quantitative research/analysis or development.
• Familiarity with HFT development.
• Strong background in probability, statistics, time-series modeling, and quantitative methods.
• Expert-level proficiency in Python for research and production; knowledge of C++ or Rust for performance-critical components.
• Solid understanding of data structures, algorithms, software engineering principles, and version control systems.
• Experience with statistical analysis, backtesting methodologies, and strategy formulation.
• Ability to develop and utilize algorithms to analyze large datasets and rigorously resolve data/logic discrepancies.
• Comprehension of financial markets, trading concepts, and principles of risk management.
• Competitive salary along with INJ token awards.
• Unlimited paid time off (PTO).
• Health insurance coverage.
• Provision of necessary equipment.
• Home office stipend.
• Flexible working hours.
• Chance to engage with cutting-edge blockchain technology within the finance sector.
• Collaborative team environment that promotes professional growth and development.
• Opportunities for global team meet-ups.
Julesetmoi
National University
MeridianLink
Woolpert
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