| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
DTG Finance & Capital Markets | New York, NY, United States | $76k - $80k | |||
Tokka Labs | Singapore, Singapore | $105k - $150k | |||
Cruz Money Pty Ltd | Remote |
| |||
Paradextrade | Remote | $89k - $100k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
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 | |||
Gsrmarkets | New York, NY, United States | $125k - $175k | |||
Binance | Asia |
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Confusion Capital | Remote | $180k - $220k | |||
Confusion Capital | Remote | $180k - $220k | |||
Monad Foundation | Remote | $86k - $110k | |||
Numus | Remote | $96k - $115k | |||
Monad | New York, NY, United States | $74k - $100k |
Our top client, a highly profitable and sophisticated cryptocurrency hedge fund, is seeking a Quantitative Crypto Analyst to join the Trading Team.
In this role, you will architect and execute a framework that integrates quantitative and qualitative data for comprehensive token analysis—ultimately building dashboards, metrics, and a system that identifies opportunities in the crypto markets. This system will help inform decision-makers and identify actionable opportunities in the market.
Minimum Qualifications:
- Crypto Experience: 2+ years of relevant experience working with on-chain data in a quantitative research or similar capacity.
- Follows industry developments, stays updated on key protocols and market trends, and maintains a genuine enthusiasm for exploring emerging blockchain technologies.
- Technical Proficiency: Strong programming skills (Python, SQL) for building and deploying models.
Familiarity with modern data technologies and cloud platforms (e.g., AWS, Snowflake) preferred.
Quantitative Background:
Proven knowledge and experience with time series analysis, sentiment analysis, optimization techniques, and/or machine learning.
Hands-on experience translating quantitative research into actionable investment or trading signals.
Communication Skills:
Ability to clearly articulate complex technical concepts to both technical and non-technical audiences.
Preferred Qualifications:
- Advanced Education: Advanced degree in Engineering, Statistics, Applied Mathematics, Physics, Computer Science, or a related field.
- Crypto-Specific Knowledge: Experience with crypto data vendors, APIs, and fundamental blockchain analytics.
- Understanding of tokenomics and blockchain protocol fundamentals.
Entrepreneurial Mindset:
Demonstrated ability to thrive in a fast-paced, self-directed environment
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.