| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Lido | Remote | $120k - $140k | |||
Token Metrics | Austin, TX, United States | $32k - $81k | |||
Impossible Cloud | Zug, Switzerland | $87k - $150k | |||
Gsrmarkets | New York, NY, United States | $150k - $200k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Lobster | Paris, France | $40k - $100k | |||
Gravity Team | Remote | $100k - $250k | |||
G-20 Group | Zurich, Switzerland | $84k - $106k | |||
Kronosresearch | Remote | $27k - $70k | |||
Binance | Asia |
| |||
DTG Finance & Capital Markets | New York, NY, United States | $76k - $80k | |||
Cruz Money Pty Ltd | Remote |
| |||
Binance | Asia |
| |||
Confusion Capital | Remote | $180k - $220k | |||
Confusion Capital | Remote | $180k - $220k | |||
Confusion Capital | Remote | $180k - $220k |
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. Youâll 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
Masterâs 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)
What do quantitative analyst do?
A quantitative analyst, also known as a 'quant', is a professional who uses quantitative techniques to develop and implement financial models, analyze data, and make investment decisions
Quants are typically employed by financial institutions such as hedge funds, investment banks, and asset management firms
In Web3 quantitative analysts can leverage their expertise in data analysis and modeling to inform investment decisions and help build new decentralized systems and applications
The job of a quantitative analyst can vary depending on the employer and industry, but generally, they use mathematical and statistical models to analyze financial data and make informed investment decisions
They may use programming languages like Python, R, or MATLAB to develop these models
Some specific tasks that a quantitative analyst may be responsible for include:
- Analyzing financial data and identifying patterns and trends.
- Developing and testing mathematical models to predict financial market behavior.
- Designing and implementing trading strategies based on quantitative analysis.
- Decentralized finance (DeFi) analysis: Quants can analyze various decentralized financial protocols to identify opportunities for investment and assess risks associated with these protocols. They may develop models to predict the behavior of decentralized financial instruments and evaluate their performance.
- Cryptocurrency market analysis: Quants can analyze cryptocurrency markets and identify patterns and trends that may be used to inform trading strategies. They can also develop models to predict the price movements of cryptocurrencies based on various factors such as supply and demand, market sentiment, and adoption rates.
- Smart contract analysis: Smart contracts are self-executing contracts with the terms of the agreement directly written into code. Quants can analyze smart contract code to identify potential vulnerabilities and assess the risk associated with the execution of the contract.
- Web3 data analysis: Quants can analyze data from various Web3 platforms and protocols to identify trends and make informed decisions. This may involve developing new techniques for analyzing decentralized data, such as utilizing data from on-chain transactions to gain insights into user behavior and network activity.