We are looking for a hands-on Quantitative Analyst to help the Lido Ecosystem Foundation and the Lido DAO Treasury make sharper, data-driven treasury, liquidity, and risk decisions across on-chain and off-chain venues. You’ll blend 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 Lido DAO Treasury asset diversification.
Vault research & advisory: Provide research and advisory support to curators of Lido-affiliated vaults, including drafting analytical notes, risk/return modeling, and monitoring of current vault allocations.
Treasury management: Support the development of an asset allocation model for the Lido DAO Treasury and support treasury management efforts of the Lido Labs and Lido Ecosystem Foundations.
Liquidity modeling: Model stETH liquidity across on-chain AMMs, RFQ/MM venues, and centralized exchanges; quantify slippage, depth, and execution quality; 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 (bridging, rebalancing, routing).
Mechanism & tooling design: Prototype and evaluate improved mechanisms for liquidity provision (e.g., a liquidity buffer for the Lido Core 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 clearly to both technical and non-technical audiences.
Qualifications
Master’s degree in Quantitative Economics/Finance, Statistics, Data Science, Computer Science, or a closely related field.
0-4 years of full-time professional 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-ready 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 well as a variety of external stakeholders.
Nice 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 Dune Analytics platform.
Familiarity with EVM concepts, onchain data, bridging/L2 ecosystems, and basic solidity literacy (reading contracts, event decoding).
Practical experience with dashboarding (preferably Python-based frameworks) and data engineering basics; some experience with basic CI/CD workflows (e.g., GitHub Actions).
Key Factors
Organization: Lido Ecosystem Foundation (working closely with Lido Labs Foundation and contributing to the Lido DAO)
Compensation: USD $120,000-$140,000 base (12-month contract) + performance-based component
Experience: 0-4 years full-time professional experience
Location: Globally remote (option for hybrid work in Zug / CH)
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