| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
GSR | New York, NY, United States | $42k - $87k | |||
Kronos Research | Remote | $28k - $72k | |||
Drift Protocol | Remote | $54k - $100k | |||
Mirana | Singapore, Singapore | $40k - $56k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
CoinDesk & TradeBlock Opportunities | New York, NY, United States |
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Crypto.com | Remote | $14k - $23k | |||
Binance | Remote |
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Mirana | Singapore, Singapore | $40k - $56k | |||
Crypto.com | Remote | $14k - $23k | |||
Kronos Research | Taipei, Taiwan | $28k - $33k | |||
Altonomy | Singapore, Singapore |
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This job is closed
GSR is a leading market-making and programmatic trading company in the exciting and fast-evolving world of cryptocurrency trading. We provide sophisticated execution and liquidity services to token projects, institutional and HNW investors, and crypto exchanges.
We are looking for a Senior Quantitative Researcher, with a strong background in alpha research. You will be joining the core of the trading team, and focus on Performance, Innovation and Integrity within the newly established Quantitative Research team developing the alpha research framework. The Quantitative Research team works on the full life cycle of a signal- all the way from data to execution.
You will help to ensure best-in-class statistical modeling and software development practices and will report to the Head of Quant Research, who is based in London.
Founded in 2013, we specialize in providing liquidity, risk management and structured products to institutional participants in the digital asset ecosystem. Our team of veteran finance and technology executives from Goldman Sachs, Two Sigma, Citadel, Blackstone and Tower Research among others, has developed one of the world’s fastest and most robust trading platforms.Â
GSR works with token issuers, traders, investors, miners, and more than 50 cryptocurrency exchanges around the world. As a founding member of The Association for Digital Asset Markets (ADAM), GSR is also a leader in establishing and maintaining industry standards and protocols to support the healthy development and evolution of the global digital assets serving key exchanges and clients globally. GSR is an international company with operations in the USA, Europe and Asia.Â
GSR is proudly an Equal Employment Opportunity employer. We do not discriminate based upon any applicable legally protected characteristics such as race, religion, colour, country of origin, sexual orientation, gender, gender identity, gender expression or age. We operate a meritocracy, all aspects of people engagement from the decision to hire or promote as well as our performance management process will be based on the business needs and individual merit, competence in the role.
Learn more about us at www.gsr.io.
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.