Quantitative Researcher ($200k-$300k + Equity) at Injective Labs
Jack & Jill · New York, United States
- On site
- Full-time
- $250,000 / year
- New York, United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Build DeFi economy strategies in a 3-person quant team.
- Own trading strategy lifecycle from analysis to execution.
- Ensure market liquidity on a fast L1 blockchain.
- Work with top fintech investors like Binance.
- Gain P&L visibility and token equity.
About the role
Quantitative Researcher
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.
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.
What You Will Do
- 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.
The ideal candidate
- 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.
Key skills/competency
- Quantitative Research
- DeFi Trading Strategies
- Low-Latency Execution
- Market Microstructure Analysis
- Systematic Trading
- Python
- C++
- Rust
- Go
- Machine Learning
Skills & topics
- Quantitative Researcher
- Quantitative Finance
- Web3
- Fintech
- DeFi
- Trading Strategies
- High-Frequency Trading
- Python
- C++
- New York
How to get hired
- Customize your resume: Highlight your M.S./Ph.D. in quantitative fields, HFT/systematic trading experience, and proficiency in Python, C++, Rust, or Go.
- Showcase your skills: Detail your experience in designing trading strategies, analyzing market microstructure, and building low-latency systems.
- Prepare for technical interviews: Be ready to discuss probability, time-series modeling, financial markets, and demonstrate your coding skills.
- Understand the company: Research Injective Labs' L1 blockchain, DeFi focus, and their backing by Binance, Jump Crypto, and Mark Cuban.
Technical preparation
Master Python for research and C++/Rust/Go for execution.,Practice probability and time-series modeling problems.,Build backtesting frameworks and low-latency systems.,Analyze market microstructure and on-chain data.
Behavioral questions
Describe a complex trading strategy you developed.,How do you handle P&L responsibility?,Discuss a time you optimized system performance.,Explain your approach to market inefficiency identification.
Frequently asked questions
- How can I apply for the Quantitative Researcher role at Injective Labs?
- To apply for the Quantitative Researcher position at Injective Labs, you should engage with Jack, the AI job search agent. He will help you tailor your application and make an introduction to Jill, the AI Recruiter, if you are a strong match for the role. Ensure your resume highlights your quantitative background and trading experience.
- What is the compensation for a Quantitative Researcher at Injective Labs?
- The Quantitative Researcher role at Injective Labs offers a competitive salary range of $200k-$300k, plus equity in the form of INJ tokens. Additionally, there is a performance-driven risk management bonus of up to $150k, making the total compensation potentially very attractive.
- What specific technical skills are essential for the Quantitative Researcher role?
- Essential technical skills include expert-level proficiency in Python for research, and strong skills in performance-critical languages such as C++, Rust, or Go. A deep understanding of probability, time-series modeling, financial markets, and the ability to engineer low-latency systems are also crucial.
- What kind of experience is required for the Quantitative Researcher position at Injective Labs?
- The ideal candidate for the Quantitative Researcher role will have an M.S. or Ph.D. in a quantitative field and 3-5 years of experience in High-Frequency Trading (HFT) or systematic trading at a top-tier financial institution.
- What is the work environment like for a Quantitative Researcher at Injective Labs?
- You will join a high-impact, three-person quant team in New York. This role offers end-to-end ownership of trading strategies, direct P&L visibility, and the opportunity to work at the forefront of Web3 finance on a rapidly growing L1 blockchain.
- What is the role of Jack and Jill in the application process?
- Jack is an AI job search agent that helps candidates discover and prepare for opportunities. Jill is an AI Recruiter for Injective Labs who identifies candidates from Jack's network. If there's a match, Jill facilitates an introduction for an interview.