| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Stealth | Remote | $150k - $200k | |||
Arrakis.fi | Remote |
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Harrington Starr | New York, NY, United States | $200k - $250k | |||
Animoca Brands Limited | Hong Kong, Hong Kong | $22k - $52k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Flow Traders | Amsterdam, Netherlands | $77k - $95k | |||
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 | |||
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 |
This job is closed
About Us
We are a dynamic and forward-thinking systematic hedge fund that leverages automated trading and risk management systems towards trading strategies within the crypto sphere. The Fund managers bring strong crypto expertise as portfolio managers building strategies in the space since 2018.
The Role
As a Quantitative Researcher here, you'll play an integral role in the development, refinement and implementation of our tech and data-driven strategies to continuously enhance our trading systems. More specifically, you will spearhead the discovery of short-term alpha signals and collaborate closely with the team from idea to implementation.
Responsibilities
- Develop and deploy high-frequency trading signals based on market analysis and statistical models.
- Effectively communicate on research and supporting models.
- Conduct rigorous back-testing and simulations to validate strategies.
- Collaborate with traders and software engineers to integrate new research into our trading infrastructure.
- Continuously refine strategies to optimize trading performance.
Qualifications
- Advanced degree in Mathematics, Statistics, Quantitative Finance, or related field.
- 3+ years experience in quantitative research, preferably in an HFT context.
- Strong programming skills.
- Deep understanding of statistical models and financial markets.
- Strategic thinking and strong analytical problem-solving skills.
- Effective communicator.
- Ability to deliver independently in a fast-paced, collaborative environment.
- The ideal candidate should be highly motivated, hard-working, and have the highest level of integrity.
- Crypto experience is a plus, but not required.
We Offer
- Competitive compensation including equity potential and great benefits.
- A unique opportunity to work in the rapidly evolving and dynamic crypto market on the buy-side.
- Access to cutting-edge technology and proprietary systems.
- An entrepreneurial, close-knit team culture.
- Work alongside a small team of talented and passionate professionals.
- Flexible workplace model (hybrid or remote).Â
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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.