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
šTrade and research systematic trading strategies on multi-market futures, with a focus on the market making of derivatives šDevelop trading strategies and multi-factor alpha blending šEffectively use programing tools to model data and conduct strategy backtesting and optimization šResponsible for the operation and risk monitoring of trading strategies
Who You Are
šMaster degree in Science, Engineering or Quantitative Finance with a strong academic background š1-3 years of trading or research experience with high frequency quantitative strategies šFamiliar with market microstructure and backtesting systems šExperience with mathematical and statistical modeling, strategy optimization, and able to analyze large financial datasets šProficient 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 šFamiliarity with network design and reducing latency would be a plus šExperience in the development of cutting-edge machine learning techniques would be good to have šDemonstrable passion in the digital asset space Creative problem solver who is intellectually curious šFluent in both English & Mandarin in order to communicate effectively with colleagues across different region
