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Job Title
Quantitative Researcher
Salary
$200k-$300k + Equity
Company Description
Injective Labs is a high-growth Web3 fintech incubated by Binance and backed by Jump Crypto, Pantera, and Mark Cuban, building the fastest interoperable L1 blockchain for finance.
Job Description
As a Quantitative Researcher at Injective Labs, you will join a high-impact three-person team in New York to build the strategies driving the DeFi economy. You will own the entire lifecycle of automated trading strategies, from market microstructure analysis to low-latency execution, ensuring market liquidity on the world’s first fully on-chain order book.
Location
New York, USA
Why this role is remarkable
- 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.
- Work at the absolute frontier of finance on the fastest-growing L1 blockchain, backed by industry titans like Binance, Jump Crypto, and Mark Cuban.
- Access a unique compensation structure featuring a performance-driven risk management bonus of up to $150k and INJ token equity in a scaling ecosystem.
- 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.
- 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.
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.
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.
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.
This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
