- Work on greenfield predictive modeling problems related to blockchain performance and system/user behavior. Problems may be open-ended; you'll have to devise and prototype a variety of approaches before finding the correct solution.
- Implement production-grade solutions and take end-to-end ownership of production prediction pipelines.
- At least 3 years of experience building predictive models, preferably at a HFT firm
- You're creative, self-motivated and independent
- You have excellent knowledge of predictive modeling techniques including linear regression, decision trees, and neural nets
- You know numpy and pandas like the back of your hand
- You've built something significant from scratch
- Strong Bonus: You are crypto-native
- You'll work on extremely challenging problems with massive impact
- You'll work with a small, exceptional team (bios here: )
- You'll receive a competitive salary and competitive total compensation package
- You'll shape the culture as an early employee and make impactful contributions from day one
- You'll be part of a flat, results-driven organization
- Your work will be deeply impactful, enabling a much cheaper and more efficient computation platform
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Quantitative Researcher - New York, United States - Monad
Description
Job Description
Job DescriptionFounded by Jump Trading alums, Monad Labs is a tech startup using low-latency programming, compiler optimization, and multithreaded computing to build an ultra-high-performance smart contract platform. The work entails building an optimal stack-based VM that supports multithreaded computation, as well as developing and implementing an efficient Byzantine Fault Tolerant (BFT) algorithm enabling a network of nodes to come to consensus. We recently raised $225M in series A funding to scale our team in bringing the Monad blockchain to production.
The Role
Monad Labs is looking for an exceptional quant to work on data science and machine learning problems in the blockchain space. The work will be challenging, as it will involve predictive modeling for a variety of topics like transaction dependencies, user behavior, network behavior, etc. We're looking for someone who has excelled in other environments where predictive analytics had a direct impact on the bottom line, such as high-frequency trading or traditional tech. Your work will directly impact the performance and economics of one of the biggest upcoming blockchain projects in the space.
What You'll Do
Who You Are
Why work with us
Salary and benefits
Minimum full-time salary of $200,000. (**This is not a guarantee of compensation or salary; a final offer amount may vary based on factors including but not limited to experience and geographic location.)
Monad Labs' benefits include unlimited and encouraged paid time off; insurance coverage; home office equipment stipend; monthly wellness/fitness stipend; and 10 company-observed holidays.