Monad Labs Logo

Monad Labs

Quantitative Researcher

Reposted 20 Days Ago
Remote
Hiring Remotely in USA
Mid level
Remote
Hiring Remotely in USA
Mid level
The role involves building predictive models for blockchain performance and user behavior, implementing solutions, and owning production prediction pipelines.
The summary above was generated by AI

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

We 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 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
  • 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. 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.

HQ

Monad Labs New York, New York, USA Office

New York, New York, United States, 10018

Similar Jobs

4 Days Ago
In-Office or Remote
100K-150K Annually
Mid level
100K-150K Annually
Mid level
Fintech • Financial Services • Cryptocurrency • NFT • Web3
Build data foundations and end-to-end pipelines, research and implement quantitative pricing, market-making, and risk models for prediction markets, model cross-market dependencies and parlays, develop backtesting/simulation frameworks, monitor model performance and collaborate closely with traders to improve pricing and trading outcomes.
Top Skills: Data PipelinesMachine LearningPython
8 Days Ago
Remote or Hybrid
New York, NY, USA
150K-180K Annually
Mid level
150K-180K Annually
Mid level
Energy • Financial Services • Automation • Renewable Energy
Partner with portfolio and risk managers to develop quantitative risk models, analyze U.S. power markets, improve backtesting and simulation infrastructure, attribute performance, track P&L and exposures, and deliver actionable insights to scale the trading and risk platform.
Top Skills: Convex OptimizationMachine LearningPythonStatistical Learning
14 Days Ago
In-Office or Remote
New York, NY, USA
Mid level
Mid level
Software • Wearables
As a Quantitative UX Researcher, you'll design and execute quantitative studies to illuminate user behavior, collaborating with qualitative researchers and strategic partners to inform product and experience direction.
Top Skills: AlchemerDisplayrPythonQ ResearchQualtricsRSpss

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account