Quantitative Researcher
Analyzes trading activity, liquidity, and user behavior on the Monad blockchain to address market structure issues and uncover growth opportunities. Requires 3+ years in quant roles (preferably HFT), expertise in market microstructure, and strong proficiency in numpy/pandas.
About the job
What You Will Do
- Work on greenfield problems related to trading activity, liquidity, and user behavior onchain. This includes analyzing venues, assets, and market participants, and understanding how they interact across the ecosystem.
- Develop data-driven views on market structure and ecosystem dynamics, and use them to inform decisions.
- Implement and own analytical workflows end-to-end, from exploration to production-grade outputs.
Who You Are
- At least 3 years of experience in a quantitative role, preferably in HFT
- Strong understanding of market microstructure and broader market dynamics
- Proficient with numpy and pandas
- Have built something significant from scratch
Bonus: Hands-on familiarity with onchain crypto markets
Skills
NumPy, pandas, Market Microstructure, Quantitative Analysis, Data Analysis, Onchain Analysis, Trading Analysis, Liquidity Analysis, Hft, Crypto Markets
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