Join a high-performance three-person quant team in New York building the infrastructure for Web3 finance. You will take end-to-end ownership of automated trading strategies, from analyzing market microstructure and on-chain data to developing low-latency execution systems. This role offers direct P&L visibility and the autonomy to ship production-ready systems.
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Quantitative Researcher at Injective Labs
Are you ready to build the strategies that run the DeFi economy? Join a premier L1 blockchain backed by Binance, Jump Crypto, and Mark Cuban as a Quantitative Researcher in New York. This isn't a 'write a paper' role—you'll join an elite 3-person team where you own the full lifecycle of automated trading strategies, from microstructure research to low-latency execution. With a compensation package up to $300k plus token equity, this is a unique opportunity to apply high-frequency trading rigor to the world’s first fully on-chain order book and shape the future of decentralized finance.
About this role
Role overview
About the company
Finance50-100 employees
Injective Labs is a research and development company focused on creating unmatched Web3 infrastructure and finance solutions. As one of the core contributors to Injective, it aims to provide innovative solutions for the decentralized finance (DeFi) sector, including products like Helix, a decentralized order-book crypto exchange, and Mito, a DeFi protocol for passive yield generation and token launchpad. It operates validator nodes for various Web3 projects and is dedicated to fostering a free and decentralized financial landscape.[1][5][12]
What you'll do
What you will do
- Design and implement market-making, arbitrage, and systematic strategies from research through to production execution.
- Analyze complex market microstructure and on-chain data using statistical and machine-learning techniques to identify alpha.
- Build and optimize low-latency trading system components, including signal-generation pipelines and exchange connectivity tools.
Who you are
Who this is a fit for
- Holds an M.S. or Ph.D. in a quantitative field such as Mathematics, Physics, or Computer Science with 3–5 years of trading experience.
- Expert-level proficiency in Python and a performance-critical language like C++, Rust, or Go, with a background in HFT development.
- Demonstrated ability to navigate large datasets and apply rigorous backtesting methodologies to real-time market data environments.
Why this role
Why this role is remarkable
- Exceptional compensation package reaching $300k total cash plus token equity in one of the fastest-growing L1 ecosystems.
- Direct impact on the world’s first fully on-chain order book, operating at the intersection of HFT and decentralized finance.
- Join an elite, small-scale team of former top-tier financial institution leads where every member is both a researcher and a builder.
Jack & Jill
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Meet Jack
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
How does this work?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If it’s a match and the company wants to meet you, they’ll make the intro. In the meantime, if you’d like, Jack will send you excellent alternatives.