Crypto Quant Researcher: HFT & On-Chain Signals

Injective; New York (NY); On-site; USD 180,000 - 280,000; 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 for its NY-based team. You will study crypto markets to identify profitable trading opportunities and build automated strategies that respond in real time to changing data.

The role emphasizes low-latency execution, on-chain data analysis, and collaboration with a fast-paced quantitative group. Applicants should have strong mathematical foundations and experience in HFT. New York-based or relocation eligible.

Qualifications

• Advanced degree in a quantitative field and strong mathematical background.
• Experience in high-frequency trading development or research.
• Proficiency with Python for research and production; performance-critical components in C++/Rust.
• Strong statistics, time-series modeling, and machine-learning fundamentals.
• Ability to design, backtest, and deploy trading strategies with rigor.

Responsibilities

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

Skills

Python

C++

Rust

HFT

Probability

Statistics

Time-series

Backtesting

Algorithms

Data analysis

Education

M.S./Ph.D. in quantitative field

Tools

Linux

Git

Job description

Injective Labs is seeking a Quantitative Researcher for its NY-based team. You will study crypto markets to identify profitable trading opportunities and build automated strategies that respond in real time to changing data.

The role emphasizes low-latency execution, on-chain data analysis, and collaboration with a fast-paced quantitative group. Applicants should have strong mathematical foundations and experience in HFT. New York-based or relocation eligible.