Full-Time

Quantitative Researcher

Confirmed live in the last 24 hours

Monad Labs

Monad Labs

11-50 employees

Ultra-high-performance EVM-compatible blockchain

Crypto & Web3

Mid

Remote in USA

Required Skills
Pandas
NumPy
Requirements
  • At least 3 years of experience building predictive models, preferably at a HFT firm
  • Creative, self-motivated, and independent
  • Excellent knowledge of predictive modeling techniques including linear regression, decision trees, and neural nets
  • Proficiency in numpy and pandas
  • Experience in building something significant from scratch
  • Strong bonus: Crypto-native
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

Monad is developing an ultra-high-performance EVM-compatible layer-1 blockchain, enabling parallel execution and offering 10,000 transactions per second, with full compatibility for Ethereum smart contracts. The technology leverages low-latency programming, compiler optimization, and multithreaded computing to unlock new avenues for developers and blockchain users.

Company Stage

Seed

Total Funding

$244M

Headquarters

New York, New York

Founded

2022

Growth & Insights
Headcount

6 month growth

37%

1 year growth

164%

2 year growth

1133%

Benefits

Health, Dental, and Vision coverage: you pick the plan, we reimburse 100% of your premium

$2,000 remote office equipment reimbursement

$200 monthly wellness and fitness reimbursement

Unlimited PTO, minimum 15 days per year

11 company-observed holidays in the US

Flexible work hours, flexible remote-work policy

Quarterly team on-sites