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Token Metrics | Austin, TX, United States | $32k - $81k | |||
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Token Metrics
$32k - $81k estimated
Crypto Quantitative Analyst Intern
Austin, TX
Data Science Team /
Internship /
Remote
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Token Metrics provides AI-based cryptocurrency ratings and price predictions. Our customers leverage our professional analysts, analytics, and artificial intelligence to make profitable crypto investments.Â
Token Metrics is seeking a quantitative analyst to assist our team in designing crypto quantitative trading strategies. Â
If you're the right person, you've got a passion for trading, Python, have strong analytical skills and the ability to communicate and work in a fast-paced environment. Â
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 Â
Requirements
- Proficiency in Python
- Experience working with large data sets
- Ability to design and back-test trading strategies
- Strong background in statistics
About Token Metrics
Token Metrics helps crypto investors build profitable portfolios using artificial intelligence based crypto indices, rankings, and price predictions.Â
Token Metrics has a diverse set of customers, from retail investors and traders to crypto fund managers, in more than 50 countries.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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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.