About this role
About Scientech Research
Scientech Research Capital is a quantitative trading firm embodied by a group of scientists and technologists. At Scientech we strive to leverage the innovations and breakthroughs in technology to discover fundamental values in the financial markets. We pride ourselves in adhering to scientific principles and nurturing creativity in quantitative research. As a proprietary trading firm, we utilize our own capital to deploy investments, accessing major global electronic markets. Since the company was founded in 2019, our trading strategies and infrastructure have weathered through the 2020 financial market storm, riding unseen volatility spike and handling massive data volume with ease. We are actively seeking talents to build out our multi-asset trading and research platform, and extend the footprint to global markets.
Job Responsibilities
Scientech Research Capital is a quantitative trading firm embodied by a group of scientists and technologists. At Scientech we strive to leverage the innovations and breakthroughs in technology to discover fundamental values in the financial markets. We pride ourselves in adhering to scientific principles and nurturing creativity in quantitative research. As a proprietary trading firm, we utilize our own capital to deploy investments, accessing major global electronic markets. Since the company was founded in 2019, our trading strategies and infrastructure have weathered through the 2020 financial market storm, riding unseen volatility spike and handling massive data volume with ease. We are actively seeking talents to build out our multi-asset trading and research platform, and extend the footprint to global markets.
Job Responsibilities
- Support and improve existing trading strategies.
- Assist senior quantitative researchers to carry out quantitative strategy design, research and development in global futures, stock, options and cryptocurrency markets.
- Statistically analyze large-scale tick-by-tick financial data to extract alpha patterns.
- Applicants must have graduated with advanced degrees from top universities, majoring in science and engineering, preferably Statistics, Mathematics, Computer Science, EE, and Physics. Have formal training of independent academic research.
- Programming skills: proficient in C++ and Python.
- Mathematical basics: having a good understanding of data science, being critical in learning knowledge, understanding at least one of statistical modeling, machine learning, econometrics or optimization.
- Being fast, critical and reasonable in thinking.
- Good communicator, being rigorous, patient, and having a strong sense of teamwork.
- Highly motivated, and able to work in a fast-paced environment.