Quantitative Researcher ($200k-$300k + Equity)

About the role

strong>This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. br> br> /strong>She will pick the best candidates from Jack s network. br> br>The next step is to speak to Jack. br> br> strong>Job Title br> br> /strong>Quantitative Researcher br> br> strong>Salary br> br> /strong>$200k-$300k + Equity br> br> strong>Company Description br> br> /strong>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. br> br> strong>Job Description br> br> /strong>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. br> br> strong>Location br> br> /strong>New York, USA br> br> strong>Why this role is remarkable br> br> /strong> ul> li>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. /li> li>Work at the absolute frontier of finance on the fastest-growing L1 blockchain, backed by industry titans like Binance, Jump Crypto, and Mark Cuban. /li> li>Access a unique compensation structure featuring a performance-driven risk management bonus of up to $150k and INJ token equity in a scaling ecosystem. br> br> /li> /ul> strong>What You Will Do br> br> /strong> ul> li>Design and implement systematic market-making and arbitrage strategies end-to-end, utilizing statistical and machine-learning techniques to identify market inefficiencies. /li> li>Build and maintain high-performance trading system components, including low-latency execution engines, signal-generation pipelines, and robust backtesting frameworks. /li> li>Analyze complex on-chain data and market microstructure to optimize risk metrics, execution quality, and slippage for liquid and illiquid digital assets. br> br> /li> /ul> strong>The ideal candidate br> br> /strong> ul> li>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. /li> li>Demonstrates expert-level proficiency in Python for research alongside strong skills in performance-critical languages like C++, Rust, or Go. /li> li>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. br> br> /li> /ul> strong>Who are Jack & Jill? br> br> /strong>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. br> br>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. br> br> strong>How does this work? br> br> /strong> ul> li>Jack s an AI agent for job searching and career coaching. He works for you. /li> li>Jill is the AI recruiter working for the company. She recruits from Jack s network. /li> li>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. br> br> /li> /ul> strong>We never post fake jobs br> br> /strong>This isn t a trick. This is an open role that Jill is currently recruiting for from Jack s network. br> br>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. br> br>We appreciate this can make them look a bit suspect, but there isn t much we can do about it. br> br>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. br> br>

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