Crypto Quant Researcher — Low-Latency On-Chain Trading

Injective; United States; Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Competitive salary

INJ token award

Unlimited PTO

Health Insurance

Equipment

Home Office Stipend

Flexible working hours

Global team meet ups

Job summary

Injective Labs is seeking a Quantitative Researcher to join our NY-based team, studying crypto markets to identify profitable trading opportunities and to build automated strategies.

You will work on low-latency execution, real-time data processing, and risk controls, focusing on market-making, arbitrage, and systematic approaches. The role offers a fast-paced environment with DeFi analytics at the core.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Quant research

HFT development

Python for research

C++/Rust

Statistics

Backtesting

Strategy design

Data analysis

Trading concepts

Education

MS/PhD in Mathematics/Physics/Statistics/CS

Tools

Linux development

Exchange connectivity

ML frameworks

Distributed computing

Job description

Injective Labs is seeking a Quantitative Researcher to join our NY-based team, studying crypto markets to identify profitable trading opportunities and to build automated strategies.

You will work on low-latency execution, real-time data processing, and risk controls, focusing on market-making, arbitrage, and systematic approaches. The role offers a fast-paced environment with DeFi analytics at the core.