| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Kronos Research | Taipei, Taiwan | $28k - $33k | |||
Figment | Toronto, Canada | $45k - $75k | |||
Coin Metrics | Boston, MA, United States | $45k - $75k | |||
CoinList | San Francisco, CA, United States | $72k - $110k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
CoinList | San Francisco, CA, United States | $32k - $76k | |||
Blockdaemon | Remote | $30k - $70k | |||
Bittrex | Washington, United States | $45k - $75k | |||
Amun 21Shares | remote | $45k - $72k | |||
0x | San Francisco, CA, United States | $63k - $82k | |||
Gemini | Remote | $45k - $60k | |||
The Block | Remote | $91k - $96k | |||
Spring Labs | Los Angeles, CA, United States | $91k - $96k | |||
Newton | Toronto, Canada | $91k - $156k | |||
Messari | Remote | $91k - $156k | |||
IOVLabs | Remote | $32k - $76k |
This job is closed
Job Description
Kronos Research is a proprietary trading firm that delivers superior trading performance through its deep quantitative research capabilities. Research and machine learning are at the core of the business strategy. Under the leadership of Wall Street veterans Mark Pimentel and Jack Tan and applying HFT strategies to cryptocurrency trading. Kronos has become one of the top quant trading firms in the world, averaging more than USD 5 Billion/ day in trading volume.
As a Quantitative Researcher at Kronos, you will work closely with other world-class talent on improving our advanced high-frequency trading algorithms and prediction models. You will leverage cutting-edge technology and research to solve complex real-world problems in a fast-paced environment. We have a flat organizational structure that is extremely merit-based where top-performers are rewarded accordingly.
Responsibilities
- Design, implement and deploy high-frequency trading algorithms in an active, live trading environment
- Explore trading ideas by monitoring trading systems and analyzing market data, market microstructure, and trading results for patterns
- Conduct research and statistical analysis to refine and optimize trading signals for different markets
- Maintain and improve upon existing simulation and research pipelines for accuracy and time to market
- Work closely with other researchers and software engineers to drive innovation across the firm
Requirements
- Advanced training (Bachelors, Masters, PhD’s) from a top school in Computer Science, Math, Stats, Physics, or another highly quantitative field
- Strong knowledge of probability and statistics (e.g. machine learning, time-series analysis) preferred
- Proficiency in C++ in a Linux environment, and Python would be a plus
- Background working in a data driven research environment
- Excellent analytical skills, with strong attention to detail
- Strong written and verbal communications skills in English
- English resume acceptable only
Salary
NT$ 1,500,000 ~ NT$ 5,000,000+ / year
What does a data scientist in web3 do?
A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem
This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems
In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems
Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.