Quantitative Jobs in Web3
254 jobs found
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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Binance | Asia |
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Keyrock | London, United Kingdom | $72k - $90k | |||
Bitwise Asset Management | New York, NY, United States | $150k - $200k | |||
Binance | Taipei, Taiwan |
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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 | |||
Kronos Research | Singapore, Singapore | $64k - $72k | |||
Elwoodtechnologies | Remote |
| |||
Kronos Research | Singapore, Singapore | $64k - $72k | |||
DTG Finance & Capital Markets | New York, NY, United States | $76k - $80k | |||
Tokka Labs | Singapore, Singapore | $105k - $150k | |||
Cruz Money Pty Ltd | Remote |
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Paradextrade | Remote | $89k - $100k | |||
DV Trading | Toronto, Canada | $112k - $180k | |||
DV Trading | New York, NY, United States | $105k - $120k | |||
DV Trading | New York, NY, United States | $160k - $200k | |||
Anti Capital | New York, NY, United States | $105k - $180k |
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 worldsâ 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 is a quantitative career?
A quantitative career is a profession that involves using mathematical, statistical, and computational techniques to solve problems and make decisions in a wide range of industries, including finance, engineering, healthcare, and technology
A quantitative career in Web3 involves using mathematical, statistical, and computational techniques to analyze and optimize decentralized finance (DeFi) protocols, blockchain networks, and other Web3 applications
Some examples of quantitative careers include:
- Quantitative Analyst: A professional who uses mathematical models and statistical analysis to identify and quantify risks and opportunities in financial markets.
- Data Scientist: A professional who analyzes complex data using statistical methods, machine learning, and other techniques to help organizations make data-driven decisions.
- Actuary: A professional who uses mathematical models and statistical analysis to assess risk and uncertainty in the insurance and finance industries.
- Quantitative Developer: A professional who develops and implements quantitative models and trading strategies for financial institutions and other organizations.
- Operations Research Analyst: A professional who uses mathematical and statistical techniques to optimize complex systems, such as supply chains, transportation networks, and manufacturing processes.