The Monad Foundation is a team of dedicated ecosystem and community builders who are on a mission to massively grow the impact of decentralized tech. We believe that the Monad blockchain--the performant and parallel EVM Layer 1--will help decentralized apps eat the world.
The RoleWe are looking for an exceptional quant to work on market structure problems within the Monad ecosystem. You will be identifying and addressing issues across the trading landscape, as well as proactively uncovering new opportunities to grow and improve trading across Monad.
The work requires both strong quantitative thinking and sharp intuition about how markets behave. You will own initiatives from idea to execution.
What You Will DoWork on greenfield problems related to trading activity, liquidity, and user behavior onchain. This includes analyzing venues, assets, and market participants, and understanding how they interact across the ecosystem.
Develop data-driven views on market structure and ecosystem dynamics, and use them to inform decisions.
Implement and own analytical workflows end-to-end, from exploration to production-grade outputs.
At least 3 years of experience in a quantitative role, preferably in HFT
You have a strong understanding of market microstructure and broader market dynamics
You know numpy and pandas like the back of your hand
You’ve built something significant from scratch
Bonus: Hands-on familiarity with onchain crypto markets
Challenging problems. You’ll tackle deeply complex and technically demanding problems, with autonomy and impact.
Endless Opportunity for Impact. The Ethereum Virtual Machine (EVM) standard is ubiquitous, but existing EVM-compatible chains are slow and bandwidth-constrained. Monad’s core innovations offer developers and founders the best of both worlds (portability and performance) and are a game-changer to power global on-chain finance.
The right team. You’ll be part of a world class team, who are exceptional and highly-motivated.
Culture. We’re a lean team working together to achieve very ambitious goals. We are united in our culture of collaboration, low ego, and high-quality output.
Strong Ecosystem. The broader Monad ecosystem has attracted support from leading investors, builders and long-term contributors.
Skills Required
- At least 3 years of experience building predictive models, preferably at a HFT firm
- Excellent knowledge of predictive modeling techniques including linear regression, decision trees, and neural nets
- Experience with numpy and pandas
- Experience building significant projects from scratch
- Bonus if crypto-native
What We Do
We are building the Monad blockchain, an ultra-high-performance EVM-compatible layer-1 blockchain designed to bring world adoption to decentralized apps. We help the EVM scale by enabling parallel execution and other significant innovations in distributed consensus and smart contract execution. Monad blockchain, an ultra-high-performance EVM-compatible layer-1 blockchain designed to bring world adoption to decentralized apps. We help the EVM scale by enabling parallel execution and other significant innovations in distributed consensus and smart contract execution. Monad offers developers the best of both worlds: unparalleled performance (10,000 transactions per second) and portability (full compatibility for Ethereum smart contracts).
