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.
Qualifications:
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.
1-3 years of work experience in systematic alpha research/equity trading.
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.
Skills Required
- Graduated with advanced degree majoring in science and engineering (preferably in Statistics, Mathematics, Computer Science, EE, or Physics)
- 1-3 years of work experience in systematic alpha research/equity trading
- Proficient in at least one of the programming languages: C/C++, Python, R
- Understanding of data science, statistical modeling, machine learning, econometrics, or optimization
What We Do
Scientech Research Capital is a quantitative trading firm founded by wall street veterans each with 10+ years of proven track record from top-notch firms. SRC strives 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. Currently we have presence in major US and Asian exchanges with daily trading volume over $500MM USD. Since the company founded in 2019, our trading strategy 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.
