Quant Researcher

As a Quantitative Researcher at Injective Labs, you join a highly-skilled, NY-based quantitative team reporting directly to the Quant Team Lead. You will study the crypto market to identify profitable trading opportunities and build automated trading strategies, working with low-latency execution engines, real-time market data, and strategies that react immediately to market changes.

What you'll do

• 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 and 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 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 both liquid and illiquid assets.

What you bring

• 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 and logic errors with rigor.
• Understanding of financial markets, trading concepts, and risk-management principles.
• Based in New York or willing to relocate.

Nice to have

• 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 such as CFA or FRM, prior experience in quantitative trading or fintech, and/or publications in relevant fields.

What we offer

• 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 meetups.

About Injective Labs

Injective Labs is a core contributor to Injective, one of the fastest-growing blockchains in the industry. Injective is an interoperable smart-contracts platform optimized for decentralized finance applications, natively integrated with Ethereum, Cosmos, and Solana, and featuring the world's first fully on-chain order book. The team is backed by Binance, Jump Crypto, Pantera, and Mark Cuban.