Quantitative Researcher
Injective Foundation is the organization identified in Injective’s official legal and footer materials for the Injective finance-focused layer-one blockchain.
Maintainer signals as of 9/2/2026
Funding history
Projects
About Injective Foundation
The Foundation’s canonical site presents Injective as blockchain infrastructure for finance, with financial primitives for stablecoins, real-world assets, payments, and programmable derivatives. Its developer documentation supports building on and operating the active Injective network.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Study crypto markets to identify profitable trading opportunities, develop automated trading strategies, analyze market microstructure and on-chain data, build research and backtesting platforms, implement trading and risk systems, and optimize production performance and latency.
Requirements
- 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 and proficiency in C++ or Rust for performance-critical components.
- Knowledge of data structures, algorithms, software engineering principles, and version control.
- Experience with statistical analysis, backtesting methodologies, and strategy development.
- Ability to investigate large datasets and resolve data and logic errors rigorously.
- Understanding of financial markets, trading concepts, and risk management principles.
- Experience with machine-learning frameworks and distributed or parallel computing.
- Familiarity with Linux development environments and modern DevOps practices.
- Understanding of cryptocurrency markets, DeFi protocols, and on-chain analytics.
- Experience with real-time trading systems, low-latency applications, and exchange integrations.
- Knowledge of blockchain technology, smart-contract fundamentals, and MEV-aware strategies.
- Professional certifications, quantitative trading or fintech experience, or relevant publications.
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 signal-generation pipelines, feature stores, and parameter-optimization tooling.
- Develop backtesting frameworks and conduct performance analysis and attribution.
- Implement order management and exchange connectivity components.
- Build and operate data pipelines and research platforms for reproducible research.
- Ensure system reliability, scalability, and latency and 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 liquid and illiquid assets.
Benefits
- INJ token award
- Unlimited PTO
- Health insurance
- Equipment
- Home office stipend
- Flexible working hours
- Opportunity to work on blockchain technology in finance
- Collaborative team culture with professional growth opportunities
- Global team meetups
