About the company
Time Research was founded by a team of traditional and crypto trading veterans with an average daily trading volume of over $1B USD. We are active and passionate participants who are fully committed to building a better long-term future for the digital asset space, and pride ourselves in maintaining a low profile to focus on what we do best. We have deep expertise in trading, technology and operations, and attribute our success to rigorous scientific research. As a technology and research-driven firm, we design and build our own cutting-edge systems: from high performance trading, large scale data analysis to compute farms.
Job Summary
What You Will Do
📍Trade and research systematic trading strategies on multi-market futures, with a focus on the market making of derivatives 📍Develop trading strategies and multi-factor alpha blending 📍Effectively use programing tools to model data and conduct strategy backtesting and optimization 📍Responsible for the operation and risk monitoring of trading strategies
Who You Are
📍Master degree in Science, Engineering or Quantitative Finance with a strong academic background 📍1-3 years of trading or research experience with high frequency quantitative strategies 📍Familiar with market microstructure and backtesting systems 📍Experience with mathematical and statistical modeling, strategy optimization, and able to analyze large financial datasets 📍Proficient in a programming language such as python, C++ or C, familiar with code acceleration methods, and have a good understanding of system architecture, framework and deployment 📍Familiarity with network design and reducing latency would be a plus 📍Experience in the development of cutting-edge machine learning techniques would be good to have 📍Demonstrable passion in the digital asset space Creative problem solver who is intellectually curious 📍Fluent in both English & Mandarin in order to communicate effectively with colleagues across different region
