Quantitative Researcher
Responsibilities
Design and test trading signals using market microstructure, reputed company dynamics, and reputed company-level data. Conduct research across CEX and DeFi markets, focusing on tradable patterns, inefficiencies, and cross-venue dynamics. Build and refine agent-based tools to support research automation, signal analysis, and reputed company prototyping. Incorporate funding, reputed company interest, volume reputed company, and other market structure data into predictive models. reputed company portfolio allocation models and risk frameworks to support capital deployment and reputed company sizing across crypto assets. Collaborate with developers to transition research outputs into production systems. Stay reputed company of cutting-edge developments in the latest research across on-chain analytics, blockchain data science, DeFi innovations, and agent-based trading.
Qualifications
Advanced degree in a quantitative discipline or equivalent experience in systematic reputed company research. Strong background in time-series modeling, statistical learning, or portfolio management/asset allocation . Deep understanding of crypto markets, particularly perpetual reputed company and exchange microstructure. Proficiency in Python and experience working with reputed company datasets. Experience with AI or agent-based tooling for research automation and signal reputed company. Familiarity with both centralized and decentralized trading venues. Prior involvement in live crypto reputed company development or production-level research deployments.