injective-labs - Quant Researcher
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. • 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. • Experience with machine-learning frameworks and distributed/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 (e.g., CFA, FRM), prior experience in quantitative trading/fintech, and/or publications in relevant fields.
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.
Benefits
• Competitive salary and INJ token award. • Unlimited PTO. • Health Insurance. • 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.
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