Quantitative Researcher (Cryptocurrency)

Quantitative Researcher

Company

Injective

Conditions

3 days agoSenior New York or Remote (US) Hybrid Full Time Token Allocation Trading Jobs by Injective

Skills

Algorithms Arbitrage Backtesting Blockchain C# Cryptocurrency Data Pipeline Defi Devops Exchange Integration Hft Linux Low Latency Machine Learning Market Making Market Microstructure Mev Probability Python Quantitative Research Risk Management Rust Smart Contract Statistics Time Series Trading

Candidate Availability

New York · Preferred New York · Required Remote · United States · Required Hybrid · Required Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will study crypto markets to identify profitable trading opportunities and build automated trading strategies. You will analyze market microstructure and on-chain data, develop trading signals and strategies, build backtesting frameworks and research platforms, implement trading and risk systems, optimize production performance and latency, and evaluate execution quality, slippage, market impact, and portfolio risk.

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 for research and production
• 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 use algorithms to investigate large datasets and resolve data and logic errors
• 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 and maintain 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
• Global team meetups

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