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    Quantitative Researcher

    Monad Foundation
    Remote
    Remote
    Senior
    Full Time
    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