Quantitative Researcher Jobs in Web3
82 jobs found
| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Tokemak | Remote | $200k - $300k | |||
Monad Labs | New York, NY, United States | $74k - $100k | |||
InfiniteQuant | New York, NY, United States | $72k - $96k | |||
Kronos Research | remote | $28k - $33k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Drift Protocol | Australia | $120k - $170k | |||
InfiniteQuant | New York, NY, United States | $72k - $96k | |||
Tokemak | Remote | $200k - $300k | |||
Snowfork huB | Remote | $105k - $108k | |||
Snowfork | United States | $105k - $108k | |||
Gauntlet | Los Angeles, CA, United States | $150k - $180k | |||
Gauntlet | Remote | $150k - $180k | |||
Kronos Research | Taipei, Taiwan | $89k - $102k | |||
Injective Labs | East Coast Time Zone | $84k - $120k | |||
Swissblock | Zug, Switzerland | $84k - $110k | |||
Presto | Singapore, Singapore | $32k - $86k |
This job is closed
Tokemak is backed by investors at Coinbase, Consensys, Electric Capital, Framework, and more.
As a Senior Quantitative Engineer, you will help Tokemak build the future of investing within Web3/crypto.
What you'll do:
- Build and run advanced financial simulations and predictive models
- Perform backtesting, scenario analysis, and simulations
- Build pricing simulations using complex financial derivatives
- Assist with portfolio optimization
- Advise on financial risk measurement and management
- Proven experience as a Data Scientist using experimentation methods and advanced statistical modeling to drive product development.
- 3+ years experience with Python and/or R development
- Experience using Python data analytics libraries (e.g. pandas and web3 library)
- Experience in quantitative analytics / financial research, risk, and modeling
- Passionate about crypto markets
- Experience with Solidity smart contract development nice to have
- Advanced training in Applied Math, Engineering, Statistical Modeling, Calculus, Computer Science, or related disciplines required (bachelor's, master's, Ph.D.)
Why Work with us?
- You'll have a massive impact by solving challenging problems
- You'll work with a small and exceptional results driven team
- You'll receive a competitive compensation package with flexible paid time off
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.