Quantitative Researcher Jobs in Web3
82 jobs found
| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
CoinDesk & TradeBlock Opportunities | New York, NY, United States |
| |||
Crypto.com | Remote | $14k - $23k | |||
Binance | Remote |
| |||
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 | |||
Crypto.com | Remote | $14k - $23k | |||
Kronos Research | Taipei, Taiwan | $28k - $33k | |||
Altonomy | Singapore, Singapore |
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This job is closed
About CoinDesk Indices
CoinDesk Indices are the industry standard for institutional single- and multi-asset benchmarks for crypto assets. The flagship CoinDesk Bitcoin Price Index (XBX) has been in operation continuously since 2014. Financial institutions rely on the XBX and other CoinDesk Indices products to benchmark billions of dollars in assets under management and to price hundreds of millions in over-the-counter transactions, daily. We are adding to the list below, developing new indices for some of the largest institutions active in the crypto market.
About the role
- Conduct research on investment ideas to help test, construct and improve index
- strategy
- Develop and streamline processes for data processing, acquisition and cleaning from
- various sources including internal and 3 rd party databases
- Build research code library to support data analysis, backtest and performance
- analytics
- Work closely with product and engineering teams in the design and implementation of
- digital asset indices
- Act as the go to resource for analytical expertise for internal and client requests
- Stay on top of research and data trends in the digital asset space to contribute to idea
- generation
Qualifications
- Advanced Degree in a technical field including but not limited to Statistics, Mathematics,
- Physics, Econometrics, Computer Science and Financial Engineering
- 2+ year of experience as a quantitative researcher in the buyside. This could include an
- index company, an index group at a bank, an ETF issuer, or a quant fund.
- Proficient in Python or other programming languages
- Experience with financial datasets and SQL database
- Strong math and statistics background, big data/machine learning experience is a plus
- Hands-on experience with factor research, portfolio back-testing, performance analysis
- and portfolio optimization
- Familiarity with financial market data and products. Knowledge or experience in digital
- assets is a plus
- Ability to work independently against tight deadlines
- Ability to work collaboratively with team members across functional roles and strong
- communication skills
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.