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    Quantitative Researcher

    Monad Foundation
    Remote
    Remote
    Senior
    Full Time
    about 2 months ago
    quantitative researchermachine learningpredictive modelingblockchainremote

    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
    • Proficient with numpy and pandas
    • Experience building something significant from scratch

    What You'll Do

    • Work on greenfield predictive modeling problems related to blockchain performance and system/user behavior
    • Devise and prototype a variety of approaches to find correct solutions for open-ended problems
    • Implement production-grade solutions
    • Take end-to-end ownership of production prediction pipelines

    Nice to Have

    • Crypto-native

    Benefits

    • Challenging problems with autonomy and impact
    • Endless opportunity for impact in blockchain technology
    • Part of a world class, highly-motivated team
    • Culture of collaboration, low ego, and high-quality output
    • Strong ecosystem with support from leading investors and contributors

    About Monad Foundation

    Monad develops a blockchain protocol that streamlines Ethereum throughput via parallel transaction processing techniques.

    New York, NY, US
    10 - 50
    Blockchain & Cryptocurrency