Monad Foundation is hiring a Quantitative Researcher in Engineering — Remote. The overview below is synthesized from the employer posting on jobs.ashbyhq.com: factual requirements and scope are preserved, but prose is rewritten with editorial context. Verify details and apply via the employer link.
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 Role
Day-to-day scope for the Quantitative Researcher as described in the posting:
The listing frames the Quantitative Researcher at Monad Foundation as a hands-on product role. 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 Do
- Work 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.
Who You Are
Experience and skills the team lists as required:
- 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
Why Work with Us
- 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
How the team describes its 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.
Build a standout application
For the Quantitative Researcher at Monad Foundation, reviewers look for concise evidence over buzzwords. Mirror the language of the posting sparingly, quantify support or delivery outcomes, and show how you handled ambiguity, time-zone collaboration and user empathy. Keep your resume to impact, keep your cover note to one page, and link to artifacts — tickets resolved, docs shipped, dashboards owned — that prove you can operate in a fast-moving Web3 team. Prepare to discuss a time you turned a confusing user report into a clear fix and how you measure quality in support and operations.
Web3 hiring values reliability: on-time follow-through, clear writing, and a track record of improving runbooks and tooling. Treat the application as a work sample. For interviews, be ready to walk through how you prioritize across time zones, handle a difficult user, and decide when to escalate versus resolve directly. Show how you document decisions so the next teammate benefits.
In a distributed Web3 org, trust builds through written clarity. Use the cover note to demonstrate it. Add links to public work, keep formatting scannable, and close with a clear ask. Hiring managers skim — make impact obvious in the first half-page.
Career growth in Web3 rewards continuous learning. Follow protocol changelogs, practice with testnets, and contribute to open issues. Small, consistent contributions compound into credibility more than one-off credentials.