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Lido
Quantitative Analyst
atĀ Lido
18 days ago | 110 views | 1 applications

Quantitative Analyst

Full-time
Remote

About the company

he Lido DAO is a Decentralized Autonomous Organization that decides on the key upgrades and key parameters of liquid staking protocols through the voting power of governance token (LDO) tokens.

Job Summary

Key Scope

šŸ“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. šŸ“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. šŸ“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. šŸ“Liquidity modeling: Model stETH liquidity across on-chain AMMs, RFQ/MM venues, and centralized exchanges; quantify slippage, depth, and execution quality; stress test scenarios. šŸ“Market structure & LP management: Support negotiation of centralized-exchange liquidity provision agreements; monitor and report KPIs. šŸ“On-chain liquidity operations: Implement/support liquidity management across L2s/L1 and other EVM chains (bridging, rebalancing, routing). šŸ“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. šŸ“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

šŸ“Master’s degree in Quantitative Economics/Finance, Statistics, Data Science, Computer Science, or a closely related field. šŸ“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). šŸ“Proficiency in Python, SQL, version control (git) and statistical modelling; ability to write clean, production-ready analyses. šŸ“Strong understanding of (crypto) market microstructure and portfolio/risk concepts. šŸ“Genuine interest in crypto/digital assets and on-chain market structure. šŸ“Comfort collaborating with both technical and non-technical internal (engineering, business development, finance) as well as a variety of external stakeholders.

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