Quant Researcher

About Injective Labs

Injective Labs is trailblazing a new dawn for Web3 enabled finance. We are the core contributors to Injective, one of the fastest growing blockchains in the industry.

Injective provides an interoperable smart contracts platform that is optimized for building decentralized finance applications. Interoperability is at the core of Injective, which is natively integrated with chains such as Ethereum, Cosmos and Solana. Developers can rapidly launch premier financial applications suited for mass adoption using Injective’s infrastructure and specialized DeFi primitives such as the world’s first fully on-chain order book.

Our team has decades of experience spearheading the largest financial institutions and tech organizations. Injective is incubated by Binance and is backed by leading firms such as Jump Crypto, Pantera and Mark Cuban.

About the role

We are looking for a Quantitative Researcher to fit into our existing highly-skilled NY-based quantitative team. You will report directly to the Quant Team Lead and work closely with the broader Quant team. As a part of our Quant team, you’ll be studying the crypto market to find profitable trading opportunities and build automated trading strategies. The ideal candidate would be someone who has experience working with low-latency execution engines, handling real-time market data, and producing strategies that react immediately to market changes. If this sounds like you and you enjoy working in fast-paced environments, this role is for you!

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.