| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Lido | Remote | $120k - $140k | |||
Dvtrading | Remote | $80k - $107k | |||
Yuma | Stamford, CT, United States | $105k - $125k | |||
Kraken | London, United Kingdom | $87k - $101k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Dvtrading | Remote | $84k - $100k | |||
Alexander Chapman | New York, NY, United States | $90k - $144k | |||
Binance | Brisbane, Australia |
| |||
Albert Bow | New York, NY, United States | $90k - $100k | |||
Alexander Chapman | New York, NY, United States | $77k - $85k | |||
Kraken | United States | $96k - $153k | |||
Wormhole Labs | Remote | $84k - $150k | |||
Blockhouse | New York, NY, United States | $110k - $170k | |||
Bullet | Remote | $90k - $115k | |||
Gravity Team | Remote | $100k - $240k | |||
Token Metrics | Austin, TX, United States | $32k - $81k |
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)
What is a quantitative career?
A quantitative career is a profession that involves using mathematical, statistical, and computational techniques to solve problems and make decisions in a wide range of industries, including finance, engineering, healthcare, and technology
A quantitative career in Web3 involves using mathematical, statistical, and computational techniques to analyze and optimize decentralized finance (DeFi) protocols, blockchain networks, and other Web3 applications
Some examples of quantitative careers include:
- Quantitative Analyst: A professional who uses mathematical models and statistical analysis to identify and quantify risks and opportunities in financial markets.
- Data Scientist: A professional who analyzes complex data using statistical methods, machine learning, and other techniques to help organizations make data-driven decisions.
- Actuary: A professional who uses mathematical models and statistical analysis to assess risk and uncertainty in the insurance and finance industries.
- Quantitative Developer: A professional who develops and implements quantitative models and trading strategies for financial institutions and other organizations.
- Operations Research Analyst: A professional who uses mathematical and statistical techniques to optimize complex systems, such as supply chains, transportation networks, and manufacturing processes.