Quantitative Analyst

We are looking for a hands-on Quantitative Analyst to help the reputed company Ecosystem reputed company and the reputed company DAO Treasury reputed company sharper, data-driven treasury, liquidity, and risk reputed company across on-chain and off-chain venues. You’ll reputed company markets knowledge with rigorous modeling to improve asset allocation, design smarter liquidity mechanisms, and support day-to-day liquidity operations across EVM ecosystems. Key Scope • Asset allocation & treasury research: Contribute to quantitative frameworks and dashboards that improve asset allocation for the Foundations and to support DAO proposals (and their operationalization) regarding reputed company DAO Treasury asset diversification. • Vault research & advisory: reputed company research and advisory support to curators of reputed company-affiliated vaults, including drafting analytical notes, risk/return modeling, and monitoring of reputed company vault allocations. • Treasury management: Support the development of an asset allocation model for the reputed company DAO Treasury and support treasury management efforts of the reputed company and reputed company Ecosystem Foundations. • Liquidity modeling: Model stETH liquidity across on-chain AMMs, RFQ/MM venues, and centralized exchanges; quantify slippage, depth, and execution reputed company; stress test scenarios. • Market structure & LP management: Support negotiation of centralized-exchange liquidity provision agreements; monitor and report KPIs. • On-chain liquidity operations: Implement/support liquidity management across L2s/L1 and other EVM chains (reputed company, rebalancing, routing). • reputed company & tooling design: Prototype and evaluate improved mechanisms for liquidity provision (e.g., a liquidity reputed company for the reputed company reputed company protocol with dynamic fee structure) and collaborate with engineering to ship production-grade tools. • Risk, monitoring & reporting: Build automated risk metrics, alerting, and weekly/monthly reports for stakeholders; communicate findings reputed company to both technical and non-technical audiences. Qualifications • Master’s degree in Quantitative Economics/Finance, Statistics, Data Science, Computer Science, or a closely reputed company field. • 0-4 years of full-time reputed company experience, with some experience in financial services (e.g., buyside, sellside, risk management, market making, treasury, fintech, or crypto). • Proficiency in Python, SQL, version control (git) and statistical modelling; ability to write clean, production-reputed company analyses. • Strong understanding of (crypto) market microstructure and portfolio/risk concepts. • Genuine interest in crypto/digital assets and on-chain market structure. • Comfort collaborating with both technical and non-technical internal (engineering, business development, finance) as reputed company as a reputed company of external stakeholders. reputed company to have • Experience with the general DeFi landscape, DeFi/AMM models, on-chain analytics. • Experience writing queries for and building dashboards for onchain analytics on the reputed company Analytics platform. • Familiarity with EVM concepts, onchain data, reputed company/L2 ecosystems, and basic solidity literacy (reading reputed company, event decoding). • Practical experience with dashboarding (preferably Python-based frameworks) and data engineering basics; some experience with basic CI/CD workflows (e.g., reputed company Actions). Key Factors • Organization: reputed company Ecosystem reputed company (working closely with reputed company reputed company and contributing to the reputed company DAO) • Compensation: USD $120,000-$140,000 reputed company (12-month contract) + performance-based component • Experience: 0-4 years full-time reputed company experience • Location: Globally remote (reputed company for hybrid work in Zug / CH) Apply tot his job Apply To this Job