Quantitative Researcher
Monad Foundation supports the growth, adoption, governance, and decentralization of the Monad Layer-1 blockchain protocol.
Maintainer signals as of 9/2/2026
Funding history
Projects
About Monad Foundation
Monad Foundation is the nonprofit organization operating the Monad ecosystem and supporting its developer infrastructure, governance, ecosystem development, grants, community programs, and decentralization efforts. Monad is an active EVM-compatible Layer-1 blockchain whose public mainnet launched on November 24, 2025.
Skills
About the Role
Develop predictive models for transaction dependencies, user behavior, and network behavior in the blockchain space. Prototype and evaluate multiple modeling approaches, implement production-grade solutions, and take end-to-end ownership of prediction pipelines using techniques such as linear regression, decision trees, and neural networks with NumPy and pandas.
Requirements
- At least 3 years of experience building predictive models, preferably at a high-frequency trading firm.
- Excellent knowledge of predictive modeling techniques including linear regression, decision trees, and neural networks.
- Proficiency with NumPy and pandas.
- Proven track record building significant projects from scratch.
- Creative, self-motivated, and independent.
- Bonus: crypto-native.
Responsibilities
- Develop predictive models for transaction dependency, user behavior, and network behavior.
- Prototype and evaluate multiple modeling approaches for open-ended problems.
- Implement production-grade prediction solutions and own end-to-end production pipelines.
- Apply predictive modeling techniques including linear regression, decision trees, and neural networks.