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Injective

Quant Researcher

Injective

Quant Researcher studying the crypto market and building automated trading strategies for Injective Labs. Part of a fast-paced team leveraging blockchain technology in finance.

Posted 6/29/2026full-timeRemote • New York • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
PythonRust

About the role

Key responsibilities & impact
  • Analyze market microstructure and on-chain data to identify inefficiencies and trading opportunities.
  • Apply statistical and machine-learning techniques to generate, validate, and improve trading signals.
  • Design and implement market-making, arbitrage, and systematic strategies end-to-end.
  • Build and maintain signal-generation pipelines, feature stores, and parameter-optimization tooling.
  • Develop robust backtesting frameworks; conduct performance analysis and attribution.
  • Implement trading system components, including order management and exchange connectivity.
  • Build and operate data pipelines and research platforms for high-quality, reproducible research.
  • Ensure system reliability, scalability, and latency/performance optimization in production.
  • Implement risk monitoring and control systems across strategies and venues.
  • Run post-trade analytics to evaluate execution quality, slippage, and market impact.
  • Develop risk metrics, dashboards, and reporting tools for strategy and portfolio oversight.
  • Run simulations and estimate market impact for both liquid and illiquid assets.

Requirements

What you’ll need
  • M.S. or Ph.D. in Mathematics, Physics, Statistics, Computer Science, or a related quantitative field.
  • 3–5 years of quantitative research/analysis or development experience.
  • Experience in HFT development.
  • Strong foundation in probability, statistics, time-series modeling, and quantitative methods.
  • Expert-level Python for research and production; proficiency in C++ or Rust for performance-critical components.
  • Solid grasp of data structures, algorithms, software engineering principles, and version control.
  • Experience with statistical analysis, backtesting methodologies, and strategy development.
  • Ability to create and use algorithms to investigate large datasets and resolve data/logic errors with rigor.
  • Understanding of financial markets, trading concepts, and risk-management principles.

Benefits

Comp & perks
  • Competitive salary and INJ token award.
  • Unlimited PTO.
  • Health Insurance.
  • Equipment.
  • Home Office Stipend.
  • Flexible working hours.
  • Opportunity to work on cutting-edge blockchain technology in the finance industry.
  • Collaborative team culture with opportunities for professional growth and development.
  • Global team meet ups.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
Statistical TechniquesMachine LearningTime-Series ModelingData StructuresAlgorithmsBacktesting MethodologiesAlgorithm DevelopmentPerformance AnalysisRisk Metrics DevelopmentTrading Signal Generation