Hiring Quantitative Researcher[About SQR]Snowball Quantitative Research (SQR) is a quantitative trading firm located in Yeoui-do, the heart of finance in Korea. We are a small-sized firm with highly competitive members. We are focusing on analyzing market inefficiency and trading digital assets based on quantitative research where most of the trading is proprietary. For more information please visit the homepage (sqr.finance).[Job Description]The digital asset market has been emerging rapidly, but most market participants are individual investors rather than institutional investors, which may cause rich market inefficiency. There are various sources of inefficiency, and each of them may have predictive capability about subsequent returns. Quantitative trading algorithms can be developed to generate high profitability while minimizing risks. You will be responsible for analyzing the market inefficiency and developing a quantitative trading strategy that generates high returns robustly for various market regimes. First of all, you will be required to research the state-of-the-art techniques published in the quantitative finance field such as the Journal of Finance. Then, you will perform extensive experiments to apply the techniques to the digital asset market. Including market data, various data relevant to predict subsequent returns can be employed such as on-chain statistics and sentiment data. [Required Skills]- Ability to quickly understand the key idea and learn new skills.- Brilliant problem-solving and implementation skills.- Clear technical communication skills using mathematical equations and algorithms. - Deep knowledge related to statistical analysis and machine learning. (Knowledge in the finance field is not required.)[Preferred Profiles]- Top-tier publication in machine learning or quantitative finance.- National or international olympiad winner in informatics, mathematics, or physics.- Ph.D. degree in computer science, mathematics, or quantitative finance.