Quantitative Researcher

Summary

Join Monad Labs, the team building Monad, a performant and parallel EVM Layer-1 blockchain, as an exceptional quant to work on data science and machine learning problems. The role involves predictive modeling for various topics like transaction dependencies, user behavior, network behavior, etc., with a direct impact on the performance and economics of one of the biggest upcoming blockchain projects.

Requirements

• At least 3 years of experience building predictive models, preferably at a HFT firm
• You’re creative, self-motivated and independent
• You have excellent knowledge of predictive modeling techniques including linear regression, decision trees, and neural nets
• You know numpy and pandas like the back of your hand
• You’ve built something significant from scratch

Responsibilities

• Work on greenfield predictive modeling problems related to blockchain performance and system/user behavior
• Implement production-grade solutions and take end-to-end ownership of production prediction pipelines

Benefits

• Minimum full-time salary of $200,000
• Medical, dental, and vision insurance (100% coverage for employees)
• Unlimited and encouraged paid time off
• Monthly mental health and fitness stipend
• Paid parental leave
• 10 company-observed holidays