Quant Researcher (Injective Labs)

About the role

The Quantitative Researcher will analyze the crypto market to discover profitable trading opportunities and construct automated trading strategies. This role owns the design and implementation of market-making, arbitrage, and systematic strategies from initial concept through execution. The hire will develop and maintain signal-generation pipelines, feature stores, and parameter-optimization tooling to support reproducible research. They will build and operate data pipelines and research platforms that ensure high-quality, scalable, and reliable outputs. The position requires developing robust backtesting frameworks and conducting thorough performance analysis and attribution to validate strategy effectiveness. The researcher will implement risk monitoring and control systems across various strategies and trading venues while running post-trade analytics to evaluate execution quality, slippage, and market impact.

Key facts

What you'll do

• Analyze market microstructure and on-chain data to uncover inefficiencies and trading opportunities using statistical and machine-learning techniques.
• Design, implement, and refine trading signals while developing market-making, arbitrage, and systematic strategies that react instantly to market movements.
• Build and maintain signal-generation pipelines, feature stores, and parameter-optimization tooling to streamline research workflows and improve accuracy.
• Develop and maintain robust backtesting frameworks, conducting performance analysis and attribution to evaluate strategy outcomes and risk exposure.
• Implement order management and exchange connectivity components, ensuring seamless integration with trading venues and reliable execution.
• Build and operate data pipelines and research platforms that support high-quality, reproducible work and facilitate collaboration across teams.
• Ensure system reliability, scalability, and latency optimization in production environments through careful monitoring and iterative improvements.
• Implement risk monitoring and control systems across multiple strategies and trading venues to safeguard capital and maintain compliance.
• Run post-trade analytics to evaluate execution quality, slippage, and market impact while identifying areas for process enhancement.
• Develop risk metrics, dashboards, and reporting tools for strategy and portfolio oversight, enabling data-driven decision-making.
• Run simulations and estimate market impact for both liquid and illiquid assets to assess feasibility and optimize execution.
• Collaborate with cross-functional teams to align research objectives with business goals and support product development initiatives.
• Iterate on existing models and frameworks based on performance insights, incorporating new data sources and methodological advances.
• Document research processes, assumptions, and results to ensure transparency and enable knowledge transfer across the organization.
• Contribute to the broader research community by sharing findings, proposing improvements, and supporting peer review of methodologies.
• Participate in code reviews, design discussions, and technical planning to maintain high standards across engineering and research practices.
• Support the deployment of research prototypes into production environments, ensuring smooth transitions and ongoing maintenance.
• Monitor evolving market conditions and regulatory landscapes to adapt strategies and maintain competitive advantage.

Requirements

• Hold an M.S. or Ph.D. in Mathematics, Physics, Statistics, Computer Science, or a related quantitative field.
• Bring 3-5 years of experience in quantitative research, analysis, or development within finance or technology.
• Demonstrate hands-on experience with high-frequency trading development and low-latency system implementation.
• Possess a strong foundation in probability, statistics, time-series modeling, and quantitative methods essential for research.
• Show expert-level proficiency in Python for research and production, with additional proficiency in C++ or Rust for performance-critical components.
• Maintain a solid grasp of data structures, algorithms, software engineering principles, and version control to support scalable development.
• Have demonstrable experience with statistical analysis, backtesting methodologies, and strategy development in live or simulated environments.
• Exhibit the ability to create and use algorithms to investigate large datasets and resolve data or logic errors with rigor and precision.
• Understand financial markets, trading concepts, and risk management principles to ensure strategies align with real-world constraints.
• Adhere to strict application requirements by submitting through the designated link and providing complete, accurate information.
• Thrive in fast-paced environments where rapid iteration, analytical thinking, and clear communication are essential.
• Work effectively in a collaborative team setting, engaging with diverse stakeholders and contributing to shared objectives.
• Comply with all company policies, including equal opportunity employment standards and non-discrimination practices.
• Commit to ongoing learning and professional development to keep pace with advances in quantitative research and technology.

Nice to have

• Experience with machine-learning frameworks and distributed or parallel computing to enhance model performance and scalability.
• Familiarity with Linux development environments and modern DevOps practices to streamline deployment and operations.
• Understanding of cryptocurrency markets, DeFi protocols, and on-chain analytics to contextualize research within blockchain ecosystems.
• Experience with real-time trading systems, low-latency applications, and exchange integrations to support production-grade solutions.
• Knowledge of blockchain technology, smart-contract fundamentals, and MEV-aware strategies to optimize trading logic.
• Professional certifications, such as CFA or FRM, or prior experience in quantitative trading or fintech to validate expertise.
• Background in academic or industry research with publications in relevant fields to demonstrate thought leadership.

Practical notes

Applications must be submitted through the following link: https://injectivelabs.org/careers?ashby_jid=9e4d708a-b599-4d26-97f5-a66ab5c6ea64#open-roles. Only applications submitted via this specific link will be considered. Injective Labs is an equal opportunity employer and does not tolerate discrimination or harassment based on any protected characteristic.