Quant Researcher (Injective Labs)

Injective Labs Inc.

Job Overview

Location

New York or Remote (US)

Job Type

Full-time

Full Job Description

📋 Description

• Analyze market microstructure and on-chain data to identify inefficiencies and trading opportunities in cryptocurrency markets.
• Apply statistical and machine-learning techniques to generate, validate, and improve trading signals for automated strategies.
• Design and implement end-to-end market-making, arbitrage, and systematic trading strategies.
• Build and maintain signal-generation pipelines, feature stores, and parameter-optimization tooling for quantitative research.
• Develop robust backtesting frameworks and conduct performance analysis and attribution for trading strategies.
• Implement trading system components including order management and direct exchange connectivity.
• Build and operate high-quality data pipelines and research platforms to ensure reproducible and scalable research.
• Ensure system reliability, scalability, and latency/performance optimization in production trading environments.
• Implement risk monitoring and control systems across multiple strategies and trading 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 to estimate market impact for both liquid and illiquid assets.
• Work within a highly-skilled quantitative team based in New York with remote US colleagues.
• Collaborate on cutting-edge blockchain technology focused on decentralized finance (DeFi) and interoperable smart contracts.
• Contribute to the development of the Injective blockchain, which is natively integrated with Ethereum, Cosmos, and Solana.
• Utilize Python for research and production systems, with proficiency in C++ or Rust for performance-critical components.
• Apply strong foundations in probability, statistics, time-series modeling, and quantitative methods to real-world trading problems.
• Work with real-time market data and low-latency execution engines to react immediately to market changes.
• Maintain version control, software engineering principles, and data structures in all research and production code.
• Engage in continuous improvement of research platforms and trading infrastructure to support high-frequency trading operations.

🎯 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
• Expert-level Python for research and production; proficiency in C++ or Rust for performance-critical components
• Strong foundation in probability, statistics, time-series modeling, and quantitative methods
• Experience with statistical analysis, backtesting methodologies, and strategy development

🏖️ Benefits

• Competitive salary and INJ token award
• Unlimited PTO
• Health Insurance
• Equipment
• Home Office Stipend
• Flexible working hours

Skills & Technologies

Python

Rust

React

Linux

Remote

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Injective Labs Inc.

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About Injective Labs Inc.

Injective Labs Inc. is the core contributor to the Injective blockchain, an open, interoperable layer-1 network optimized for decentralized finance applications. The protocol supports spot, perpetual, futures, and options trading without centralized intermediaries, using on-chain order books and MEV-resistant batch auctions. Built with the Cosmos SDK and secured by Tendermint consensus, it offers cross-chain interoperability with Ethereum, IBC-enabled chains, and non-EVM networks. The company provides developer tools, APIs, and a token economics framework enabling governance, staking, and deflationary fee burns, fostering an ecosystem for permissionless exchange, lending, and derivatives markets.

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