Tbwa Chiat/Day Inc
Quantitative Researcher
Tbwa Chiat/Day Inc, New York, New York, us, 10261
Monad Labs is the team building Monad, the performant and parallel EVM Layer-1 blockchain. We are a team of systems engineers and community builders who are on a mission to help crypto eat the world. After recently raising $225M in series A funding, led by Paradigm, we are growing our team.
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 Will Do
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. Who You Are
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 Bonus: You are crypto-native Why Work with Us
Challenging problems:
You’ll work on extremely challenging problems with massive impact. Huge opportunity:
The Ethereum Virtual Machine (EVM) standard is ubiquitous, but existing EVM-compatible chains are very slow. Monad’s core innovations offer developers the best of both worlds (portability and performance) and are a game-changer for mass user adoption in crypto. The right team:
You’ll be part of an exceptional team. Culture:
We’re a lean team working together to achieve very ambitious goals. We are united in our culture of collaboration, low egos, and high-quality outputs. As an early member of our team, you’ll help continue to shape our culture. Compensation:
You’ll receive a competitive salary and equity package. Resources and growth:
We’re well-capitalized, with backing from leading venture funds like Paradigm, Electric Capital, Greenoaks, Dragonfly, and Coinbase Ventures. We keep a lean team, and this is a rare opportunity to join. You’ll learn a lot and grow as our company scales. 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, domain expertise, and geographic location.) Monad Labs’ benefits for US-based full-time employees include medical, dental, and vision insurance (100% coverage for employees); unlimited and encouraged paid time off; monthly mental health and fitness stipend; paid parental leave; and 10 company-observed holidays. Our team is headquartered in NoMad, Manhattan, NYC. This is for a hybrid (3 days/week in office) role.
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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 Will Do
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. Who You Are
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 Bonus: You are crypto-native Why Work with Us
Challenging problems:
You’ll work on extremely challenging problems with massive impact. Huge opportunity:
The Ethereum Virtual Machine (EVM) standard is ubiquitous, but existing EVM-compatible chains are very slow. Monad’s core innovations offer developers the best of both worlds (portability and performance) and are a game-changer for mass user adoption in crypto. The right team:
You’ll be part of an exceptional team. Culture:
We’re a lean team working together to achieve very ambitious goals. We are united in our culture of collaboration, low egos, and high-quality outputs. As an early member of our team, you’ll help continue to shape our culture. Compensation:
You’ll receive a competitive salary and equity package. Resources and growth:
We’re well-capitalized, with backing from leading venture funds like Paradigm, Electric Capital, Greenoaks, Dragonfly, and Coinbase Ventures. We keep a lean team, and this is a rare opportunity to join. You’ll learn a lot and grow as our company scales. 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, domain expertise, and geographic location.) Monad Labs’ benefits for US-based full-time employees include medical, dental, and vision insurance (100% coverage for employees); unlimited and encouraged paid time off; monthly mental health and fitness stipend; paid parental leave; and 10 company-observed holidays. Our team is headquartered in NoMad, Manhattan, NYC. This is for a hybrid (3 days/week in office) role.
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