Job Responsibilities:
Apply rigorous statistical analysis to vast quantities of market and financial data to produce predictive trading models and strategies.
Perform full research and development cycles of global equity quantitative trading, including idea generations, data cleaning, strategy backtesting, portfolio optimization, risk management and production monitoring.
Qualifications:
3-5 years of work experience in systematic alpha research/equity trading.
Have a good track record of innovative thinking and problem solving.
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 at least one of the following programming languages - C/C++, Python/R.
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
- 3-5 years of work experience in systematic alpha research/equity trading
- Advanced degrees from top universities in science and engineering disciplines
- Proficient in C/C++, Python, or R
- Good communication skills and teamwork
- Strong problem-solving and innovative thinking
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.
