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Lido Finance

Quantitative Analyst

Posted 18 Days Ago
In-Office or Remote
8 Locations
Entry level
In-Office or Remote
8 Locations
Entry level
The Quantitative Analyst will enhance treasury and liquidity operations, develop asset allocation models, conduct risk assessments, and collaborate with internal teams to design financial mechanisms and tools.
The summary above was generated by AI

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)

Top Skills

Dune Analytics
Git
Python
SQL

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