Full-Time
Quantitative Researcher
Confirmed live in the last 24 hours
Ultra-high-performance EVM-compatible blockchain
Mid
Remote in USA
- 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
- 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
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