Job Position | Company | Posted | Location | Salary | Tags |
---|---|---|---|---|---|
Monad Foundation | Remote | $86k - $110k | |||
Monad | New York, NY, United States | $74k - $100k | |||
Confusion Capital | Remote | $180k - $220k | |||
Numus | Remote | $105k - $120k | |||
Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Wintermute | London, United Kingdom | $36k - $87k | |||
Qube Research & Technologies | Remote | $64k - $85k | |||
Cyber Capital | Amsterdam, Netherlands | $105k - $108k | |||
Swissblock | Baar ZG | $90k - $100k | |||
InfiniteQuant | New York, NY, United States | $72k - $120k | |||
Kronos Research | Singapore, Singapore | $84k - $100k | |||
Options Group | New York, NY, United States | $64k - $66k | |||
IMC | Zug, Switzerland | $64k - $75k | |||
Warlock Labs Inc | Remote | $174k - $274k | |||
Stealth | Remote | $150k - $200k | |||
Arrakis.fi | Remote |
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At Monad Foundation, we are a team of dedicated ecosystem and community builders who are on a mission to usher in a future powered by blockchain technology. We believe that the Monad blockchain--a performant and parallel EVM Layer 1--can bring that future into the present.
The Role
We are 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.
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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 slow and bandwidth-constrained. 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 and highly-motivated team
Culture. We’re a lean team working together to achieve very ambitious goals. We are united in our culture of collaboration, low ego, and high-quality output. As an early member of our team, you’ll help continue to shape our culture.
Salary and Benefits
Benefits for full-time employees include medical, dental, and vision insurance (100% coverage for employees); generous paid time off; paid parental leave; and 10 company-observed holidays.
What does a Quantitative Researcher do?
A Quantitative Researcher is a professional who conducts research in the field of finance, economics, or related fields using quantitative methods such as statistical analysis and mathematical modeling
They typically work in the financial industry, including investment banks, hedge funds, and asset management firms
The job of a Quantitative Researcher can vary depending on the employer and industry, but generally, they use quantitative techniques to analyze financial data and develop models that can be used to make investment decisions
A Quantitative Researcher in Web3 is a professional who conducts research using quantitative methods in the context of decentralized finance (DeFi) and other Web3 applications
They work to understand the behavior of decentralized systems and develop models that can be used to optimize investment strategies
Some specific tasks that a Quantitative Researcher may be responsible for include:
- Developing models for decentralized finance: Quantitative Researchers in Web3 may develop mathematical models and algorithms that can be used to analyze decentralized financial systems, such as decentralized exchanges (DEXs), lending protocols, and prediction markets. These models may be used to assess risk, predict market behavior, and optimize investment strategies.
- Conducting on-chain data analysis: Quantitative Researchers in Web3 analyze on-chain data from decentralized platforms to understand user behavior and network activity. They may use statistical techniques such as regression analysis and machine learning to analyze this data and identify patterns that can be used to inform investment strategies.
- Writing research reports: Quantitative Researchers in Web3 write reports summarizing their research findings and recommendations for investment strategies. These reports may be used by traders, portfolio managers, and other decision-makers within the organization.
- Collaborating with other teams: Quantitative Researchers in Web3 may work closely with other teams within the organization, such as developers, quants, and traders, to develop and implement investment strategies that leverage their research insights.