Quantitative Researcher Intern
Scientech Research
Quantitative Researcher Intern
Scientech Research
Proprietary quantitative trading using scientific models
Job Responsibilities:
Assisting senior quantitative researchers to carry out quantitative strategy design, research and development of global futures, stocks and options market.
Statistically analyzing large scale tick by tick financial data to extract alpha patterns.
Qualifications:
Advanced degrees from top universities, majoring in science and engineering, preferably Statistics, Mathematics, Computer Science, EE, and Physics. Have formal trainings of independent academic research.
Programming skills: proficient in at least one of following programming languages - C/C++, Python/R.
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.
Proprietary quantitative trading using scientific models
Scientech Research Capital is a proprietary quantitative trading firm that uses scientific principles and advanced technology to trade in major global electronic markets with its own capital. The company builds and constantly refines trading models through quantitative research conducted by scientists and technologists, processing large data sets and connecting to about 10 exchanges worldwide to support a daily trading volume around 1 billion. Its products are data-driven trading strategies and an infrastructure platform for multi-asset trading. Unlike many peers, Scientech emphasizes a rigorous, research-led approach and extensive global connectivity to maintain a competitive edge and serve institutional clients. The firm aims to expand its multi-asset trading and research platform to global markets and grow its revenue from proprietary trading by capitalizing on market inefficiencies and volatility.
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