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Applied Scientist / Data Science / Crypto

LaBine and Associates

Applied Scientist / Data Science / Crypto

San Francisco, CA
Full Time
Paid
  • Responsibilities

    Bring rigorous quantitative research to crypto space. Build quantitative models to enable crypto investing and risk management. Stay at the forefront of crypto innovation such defi, NFT, L2, etc.

     

    What you’ll be doing:

    • Build quantitative models and tools to support firm’s functional team and product line such as financing, derivative, investment and trading, market analytics, institutional sales and trading, etc
    • Defi/NFT protocol quantitative research. Stay at the forefront of crypto innovation and conduct deep data driven quantitative research of defi protocols such as decentralized exchange, defi borrow/lend, yield aggregation, insurance, etc
    • Leverage statistical and machine learning models to enable crypto as an investment and also as a financial system
    • Build quantitative model and data driven api and service to enable internal/external customers
    • Publish rigorous data and model driven crypto quant research and contribute to the broad crypto ecosystem

    What we look for in you:

    • Demonstrate our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
    • Masters or Ph.D. degree in a quantitative field (Physics/Maths/Statistics/Operations Research/Financial Engineering, etc.)
    • Financial service industry experience building quantitative models
    • Understanding of statistical concepts and experience in applying them
    • Proficient in data analysis using SQL
    • Proficient in at least one programming language (e.g. Python, Go, Java, C++, or like).

    Nice to haves:

    • Passionate about or willing to dive deep into crypto innovation
    • Front office quant experience at major investment banks or hedge funds
    • Experience with building production quality library
    • Experience with solidity or web3iredis fi