Quantitative Analyst Jobs in Web3
64 jobs found
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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Binance | Asia |
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DTG Finance & Capital Markets | New York, NY, United States | $76k - $80k | |||
Cruz Money Pty Ltd | Remote |
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Binance | Asia |
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| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Confusion Capital | Remote | $180k - $220k | |||
Confusion Capital | Remote | $180k - $220k | |||
Confusion Capital | Remote | $180k - $220k | |||
Token Metrics | Barcelona, Spain | $89k - $102k | |||
Impossible Cloud | Hamburg, Germany | $90k - $90k | |||
GSR Markets | Remote | $180k - $220k | |||
Kronos Research | Shanghai, China | $63k - $77k | |||
Kronos Research | Taipei, Taiwan | $32k - $81k | |||
Asymmetric Capital | Remote | $72k - $110k | |||
Token Metrics | Panama City, Panama | $89k - $102k | |||
Token Metrics | Jakarta, Indonesia | $89k - $102k |
Binance Accelerator Program - Quantitative Analyst (Derivatives)
Asia
Early Careers /
Early Careers /
Remote
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About Binance Accelerator ProgramÂ
Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the worlds’ leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about BAP Program HEREÂ
Who may apply: Current university students and recent graduates
The role:
The overall business covers spot and derivatives OTC trading, electronic flows, agency execution, and API liquidity solutions. The successful candidate will be exposed to an exciting interdisciplinary environment, and solve challenging problems.
Responsibilities:
- Review and improve performance of existing derivative pricing, quoting and risk models.
- Research new trading and hedging strategies, and analyze existing ones to identify potential improvements.
- Collect conventional and alternative data, conceptualize, design and test predictive statistical models.
- Develop risk management frameworks and tools to manage portfolio risks.
- Work jointly with traders, researchers, operations, developers and other teams within the firm.
- Take analysis tasks from senior members in the team
Requirements:
- Master degree or higher in mathematics/statistics or similar relevant area of study required.
- Proven track record of good academic achievement and great learning skills, love to solve challenging problems and work in a fast-paced environment.
- Able to commit minimum 4 days per week for at least 3 months.
- Familiar with derivatives and options pricing, trading strategies and risk management.
- Familiar with at least one programming tool for analysis. Python is strongly preferred.
- Familiar with database languages such as SQL.
- Prior experience in a similar quantitative role is advantageous.
- Experience with Machine Learning algorithms is advantageous.
- Self-motivated, independent, and Intellectually curious. Able to communicate ideas and models effectively to multidisciplinary stakeholders.
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What do quantitative analyst do?
A quantitative analyst, also known as a 'quant', is a professional who uses quantitative techniques to develop and implement financial models, analyze data, and make investment decisions
Quants are typically employed by financial institutions such as hedge funds, investment banks, and asset management firms
In Web3 quantitative analysts can leverage their expertise in data analysis and modeling to inform investment decisions and help build new decentralized systems and applications
The job of a quantitative analyst can vary depending on the employer and industry, but generally, they use mathematical and statistical models to analyze financial data and make informed investment decisions
They may use programming languages like Python, R, or MATLAB to develop these models
Some specific tasks that a quantitative analyst may be responsible for include:
- Analyzing financial data and identifying patterns and trends.
- Developing and testing mathematical models to predict financial market behavior.
- Designing and implementing trading strategies based on quantitative analysis.
- Decentralized finance (DeFi) analysis: Quants can analyze various decentralized financial protocols to identify opportunities for investment and assess risks associated with these protocols. They may develop models to predict the behavior of decentralized financial instruments and evaluate their performance.
- Cryptocurrency market analysis: Quants can analyze cryptocurrency markets and identify patterns and trends that may be used to inform trading strategies. They can also develop models to predict the price movements of cryptocurrencies based on various factors such as supply and demand, market sentiment, and adoption rates.
- Smart contract analysis: Smart contracts are self-executing contracts with the terms of the agreement directly written into code. Quants can analyze smart contract code to identify potential vulnerabilities and assess the risk associated with the execution of the contract.
- Web3 data analysis: Quants can analyze data from various Web3 platforms and protocols to identify trends and make informed decisions. This may involve developing new techniques for analyzing decentralized data, such as utilizing data from on-chain transactions to gain insights into user behavior and network activity.