Quantitative Researcher Jobs in Web3
82 jobs found
| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Kronosresearch | Remote | $84k - $156k | |||
Dvtrading | Remote | $84k - $100k | |||
Kronosresearch | Remote | $103k - $110k | |||
Wehrtyou | Remote | $175k - $300k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Aurosglobal | Remote | $84k - $100k | |||
Auros | New York, NY, United States | $84k - $100k | |||
Selby Jennings | New York, NY, United States | $84k - $150k | |||
Swissblock | Baar ZG | $84k - $100k | |||
Keyrock | London, United Kingdom | $72k - $90k | |||
Binance | Taipei, Taiwan |
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Confusion Capital | Remote | $180k - $220k | |||
Confusion Capital | Remote | $180k - $220k | |||
Monad Foundation | Remote | $86k - $110k | |||
Monad | New York, NY, United States | $74k - $100k | |||
Confusion Capital | Remote | $180k - $220k |
Quantitative Researcher / Trader (Defi Trading) We’re looking for a talented Quantitative Researcher / Trader to join our DeFi team. This is a remote position based in Shenzhen — while we don’t have a physical office, we offer a flexible, collaborative, and well-connected work environment. As part of the defi team, you’ll be tackling complex challenges and developing innovative strategies focused on MEV (Maximum Extractable Value). You’ll help shape and optimize blockchain transaction strategies in a fast-paced, ever-evolving landscape. Job Description
Conduct in-depth research into blockchain operations and transaction lifecycles. Design, implement, and optimize MEV extraction strategies for blockchain environments. Analyze blockchain data to identify and exploit opportunities for performance gains. Work on optimizing smart contract interactions and blockchain operations for efficiency. Collaborate closely with engineers and researchers to build robust, scalable systems. Stay updated on the latest advancements in blockchain technology and incorporate findings into projects.
RequirementsÂ
Profitable and demonstrable track record in the crypto trading space Strong expertise in blockchain technology, including its operations and transaction lifecycle. Experience with blockchain platforms such as Ethereum, Binance Smart Chain, or others. Proficient in programming languages like Rust, and Python. Strong analytical and problem-solving skills, with a research-oriented mindset. Ability to work independently and delve deep into optimization challenges. You have completed at least a 3 year full-time position at a proprietary trading firm or hedge fund as a Quantitative Researcher/Trader.
Preferred Qualifications
Previous experience with MEV strategies or similar optimization problems. Strong understanding of smart contracts and DeFi protocols. Publications or contributions to blockchain research or open-source projects.
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.