Quantitative Researcher ($200k-$300k + Equity) at Injective Labs

About the role

Join an elite three-person quant team where every member has end-to-end ownership, moving beyond theoretical research to ship production code with direct P&L visibility.

Responsibilities

• Design and implement systematic market-making and arbitrage strategies end-to-end, utilizing statistical and machine-learning techniques to identify market inefficiencies.
• Build and maintain high-performance trading system components, including low-latency execution engines, signal-generation pipelines, and robust backtesting frameworks.
• Analyze complex on-chain data and market microstructure to optimize risk metrics, execution quality, and slippage for liquid and illiquid digital assets.

Requirements

• Holds an M.S. or Ph.D. in a quantitative field with 3–5 years of experience in HFT or systematic trading at a top-tier financial institution.
• Demonstrates expert-level proficiency in Python for research alongside strong skills in performance-critical languages like C++, Rust, or Go.
• Possesses a deep understanding of probability, time-series modeling, and financial markets, with the ability to engineer low-latency systems that react to real-time data.

Qualifications

• Expert-level proficiency in Python for research alongside strong skills in performance-critical languages like C++, Rust, or Go.
• A deep understanding of probability, time-series modeling, and financial markets, with the ability to engineer low-latency systems that react to real-time data.

Skills

• Expert-level proficiency in Python for research alongside strong skills in performance-critical languages like C++, Rust, or Go.
• A deep understanding of probability, time-series modeling, and financial markets, with the ability to engineer low-latency systems that react to real-time data.

Benefits

• A performance-driven risk management bonus of up to $150k.
• INJ token equity in a scaling ecosystem.

Pay

$200k-$300k + Equity

Schedule

Full-time