| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Re7 Capital | United Kingdom | $81k - $96k | |||
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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 | |||
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Marshall Wace | London, United Kingdom | $35k - $70k | |||
Ripple | Toronto, Canada | $72k - $75k | |||
GSR | Singapore, Singapore | $28k - $33k | |||
GSR | New York, NY, United States | $70k - $100k | |||
GSR | London, United Kingdom | $42k - $87k | |||
GSR | New York, NY, United States | $42k - $87k | |||
GSR | London, United Kingdom | $28k - $33k | |||
GSR | Singapore, Singapore | $28k - $33k | |||
GSR | New York, NY, United States | $28k - $33k |
This job is closed
RE7 Capital is a London based investment firm running liquid DeFi strategies. We are a dynamic team with a background in investment management, data science and crypto.
We are looking for a Quantitative Strategist with experience in DeFi – someone who will develop quantitative strategies as part of the broader liquid DeFi portfolio. You would be working with our Portfolio Manager and Data Engineers to design, test and implement strategies. This is an opportunity to work at web3’s innovation frontier and have a direct impact on the growth of the company.
If you are insanely passionate about crypto. If you can’t imagine not playing with every new DeFi platform that pops up; if in the last year you spent more time on-chain than outside – then this opportunity is for you.
- Exceptional understanding of and experience with common data science toolkits
- Excellent programming skills in Python (especially libraries like web3py and asyncio), JavaScript or other scripting languages.
- Experience with financial markets, especially pertaining to market microstructure, algorithmic trading, signal development, and backtesting mid to high frequency strategies
- Expertise in applied statistics skills, such as distributions, statistical testing, regressions
- Excellent understanding of and some experience with machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests
- Great communication skills and data-oriented personality
- Deep understanding of Uniswap v2 and v3 contract structure and other DEXs. We will test.
- Experience in Solidity is not a must but will be considered as a plus
How to apply:
E-mail us ([email protected]) your best idea for an algo market neutral DeFi strategy. In the same e-mail tell us about your worst mistake/loss and add anything relevant (degenscore, CT threads, CV etc).
Remote- first set up with a carte blanche to explore the DeFi universe
Flexible working hours
Profit sharing bonus structure
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.