| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Kronos Research | Remote | $28k - $72k | |||
Drift Protocol | Remote | $54k - $100k | |||
Mirana | Singapore, Singapore | $40k - $56k | |||
CoinDesk & TradeBlock Opportunities | New York, NY, United States |
| |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Crypto.com | Remote | $14k - $23k | |||
Binance | Remote |
| |||
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
Job Description
As a Quantitative Researcher at Kronos Research, you will gain exposure to all aspects of our quantitative trading operations, from risk management to account operations to running simulations and monitoring production trading performance. You will work closely with our Quantitative Developers and Software Engineers to expand our global trading presence efficiently and profitably.
Responsibilities
To join our team, you should be excited to:
- Support the trading and risk management day to day activities in DeFi and CeFi
- Be under the guidance of senior traders
- Conduct research in trading alpha, pricing models, asset allocation, execution cost analysis, etc
- Other ad hoc activities
Requirements
- Strong background in a quantitative discipline such as EE/CS, Math/Physics, Stats/Econ/Finance/Financial Engineering
- Detail-oriented and sharp with numbers
- Self-starter who takes ownership of projects from beginning to end
- Able to approach problems with curiosity, and provide creative solutions
- Advanced skills in Linux and one or more of the following: C++, Python, SQL
- Excellent verbal and written communication skills as a great team player
- Background in any of the following areas is a plus: machine learning, trading, blockchain technology, cryptocurrency, Decentralized Finance (DeFi)
Accept English resume only
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.