| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Kronos Research | Hong Kong, Hong Kong | $58k - $80k | |||
Kronos Research | Hong Kong, Hong Kong | $25k - $85k | |||
OKX | Hong Kong, Hong Kong | $86k - $100k | |||
Alldus | United States | $84k - $100k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Gate.io | Remote | $85k - $110k | |||
X4 Alpha | New York, NY, United States |
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Paraform | San Francisco, CA, United States | $120k - $180k | |||
X4 Alpha | New York, NY, United States |
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X4 Alpha | New York, NY, United States | $85k - $87k | |||
Drift Labs | New York, NY, United States | $45k - $90k | |||
Radley James | New York, NY, United States | $72k - $90k | |||
Algo Capital Group | New York, NY, United States | $150k - $200k | |||
X4 Technology | New York, NY, United States |
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GSR | London, United Kingdom |
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Anonym | Palo Alto, CA, United States |
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This job is closed
Job Description
Kronos is looking for Quantitative Traders that have developed a live trading track record and are looking to join a reputable fund to continue managing their own desk with related P&L responsibilities.
Successful candidates will have strong coding skills that could help implement your ideas, a demonstrable curiosity about mid/long term frequency trading, quantitative trading, and some knowledge of cryptocurrency trading.
The role will involve a significant amount of research and development when testing and developing trading strategies as a desk owner with related P&L responsibility. You will also be involved in researching, implementing, and executing strategies, and automating them where applicable.
Requirements
- Profitable and demonstrable track record in the crypto trading space
- An MSc / PhD in a research-intensive STEM field (Computer Science, Statistics, Mathematics, Physics, Engineering etc)
- Degree from a top-tier university
- A passion for developing quantitative trading strategies as well as analyzing and drawing conclusions from large datasets
- At least 3 years’ experience in electronic trading, especially in mid-long term type strategy, with a focus on cryptocurrency
- Strong coding skills essential – at least 3 to 5 years of experience coding in Python, Golang, Matlab, or R is required (test required)
- Algorithmic trading experience is required (essential), whether personal or professional experience
Desirable Skills
- Prior experience as a Quantitative Trader / Researcher
- Experience with Machine Learning, Natural Language Processing or Deep Learning
- Knowledge of the DeFi and Web 3.0 ecosystem
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.