Job Descriptions
Flexible work schedule arrangement possible, with overtime required during holidays, and night shifts or weekend shifts scheduled as needed.
Monitor real-time trading activities across domestic and international markets, including transactions, risk exposure, and other relevant data.
Accurate and timely execute of trading orders using the proprietary quantitative trading system, identify and report any trading issues.
Assist in optimizing trading execution, risk management, and capital management processes.
Stay abreast of market trends and collaborate with the technology and strategy teams to enhance trading configurations and systems.
Develop and maintain automated operations and monitoring tools.
Reconcile positions and trading data, maintain trade logs, and prepare trading reports.
Qualifications
Bachelor's degree or higher.
Prior experience in quantitative trading is highly preferred.
Familiarity with Linux environments and proficiency in Python or Bash scripting languages.
In-depth knowledge of the trading rules and regulations for various asset classes, including stocks, futures, convertible bonds, options, etc.
Excellent English reading and writing skills.
Strong execution skills, analytical thinking abilities, and problem-solving capabilities.
Effective communicator with a strong sense of responsibility and teamwork
Highly motivated and capable of thriving in a fast-paced environment.
Top Skills
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.
