Quantitative Jobs in Web3
245 jobs found
Job Position | Company | Posted | Location | Salary | Tags |
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Token Metrics | Remote | $89k - $102k | |||
Token Metrics | Kuala Lumpur, Malaysia | $89k - $102k | |||
Token Metrics | Karachi, Pakistan | $89k - $102k | |||
Token Metrics | Istanbul, Turkey | $89k - $102k | |||
Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Token Metrics | Islamabad, Pakistan | $89k - $102k | |||
Token Metrics | Hyderabad, India | $89k - $102k | |||
Token Metrics | Ho Chi Minh | $89k - $102k | |||
Token Metrics | Hanoi, Vietnam | $89k - $102k | |||
Token Metrics | Delhi, India | $89k - $102k | |||
Token Metrics | Bucharest, Romania | $89k - $102k | |||
Token Metrics | Remote | $89k - $102k | |||
Token Metrics | Bengaluru, India | $89k - $102k | |||
Token Metrics | Athens, Greece | $89k - $102k | |||
Token Metrics | Tirana, Albania | $89k - $102k | |||
IFT | Remote | $90k - $140k |
This job is closed
Crypto Quantitative Analyst (Kyiv- Remote)
Responsibilities
- Developing, testing, and optimizing algorithmic trading strategies
- Identifying new trading ideas and investment opportunities
- Researching and analyzing large data sets to find patterns
- Developing risk management tools
Requirements
- Proficiency in Python
- Experience working with large data sets
- Ability to design and back-test trading strategies
- Strong background in statistics
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.