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.
Skills Required
- Advanced degree from a top university in science or engineering, preferably Statistics, Mathematics, Computer Science, Electrical Engineering, or Physics
- Formal training in independent academic research
- Proficiency in at least one of C, C++, Python, or R
- Understanding of data science and at least one of statistical modeling, machine learning, econometrics, or optimization
- Fast, critical, and reasonable thinking
- Strong communication, rigor, patience, and teamwork
- High motivation and ability to work in a fast-paced environment
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.
