| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Fuel Labs | Canada | $84k - $112k | |||
Gate | APAC | $84k - $100k | |||
Rockbund | Remote | $84k - $150k | |||
Weekday AI | Remote | $105k - $108k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Kronosresearch | Remote | $103k - $110k | |||
Wehrtyou | Remote | $175k - $300k | |||
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 |
| |||
Confusion Capital | Remote | $180k - $220k | |||
Confusion Capital | Remote | $180k - $220k | |||
Monad Foundation | Remote | $86k - $110k |
Quantitative Researcher/Engineer
What you'll do:
- Run, tune, and improve our automated strategies on-chain and across exchanges. You’ll ensure they execute reliably and adapt to market conditions in real time.
- Collaborate with engineering, product, and research to shape how the exchange functions at a fundamental level. You’ll help build resilient bots and contribute to protocol-level logic.
- Protect the exchange from manipulation and adversarial behaviour
- Identify potential vulnerabilities in trading logic or system architecture. Analyze behaviours, detect edge cases, and work closely with the security team to keep the platform robust and trustworthy.
Who you are:
- Strong background in quantitative analysis, algorithmic trading, or market microstructure
- Comfort working close to code (Python, Rust, or similar), enough to prototype or review logic
- Experience with DeFi protocols, centralised exchanges, or on-chain trading bots
- A hacker mindset; you think like an adversary to spot risks before they become problems
- Curiosity, ownership, and a bias toward action
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.