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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 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.