Engineers Gate is seeking to develop innovative systematic trading strategies to generate superior investment returns.
Requirements
- Familiar with alpha research methodologies in cash equities, developed and traded systematic equity strategies with proven track records.
- Very strong programming skills, preferably in Python.
- Experience on building scalable time series data analysis infrastructure is a big plus.
- Knowledge on portfolio construction and trade execution is highly desirable.
- A minimum of two years of alpha research experience in systematic equity trading.
- Experience with data analysis and research tools.
- Experience with systematic equity trading strategies.
Responsibilities
- Process and analyze all kinds of data sets in various formats, structured or unstructured.
- Develop alpha signals out of both traditional and alternative data sets.
- Improve existing research and trading infrastructure, as well as adding new data analysis and research tools.
- Stay informed about market trends, emerging technologies, and advancements in quantitative finance.
- Collaborate with other team members to develop and deploy systematic trading strategies.
- Adopt the data driven approach to come up with creative alpha generation ideas and rigorously backtest these ideas.
- Take a proactive approach to problem-solving, demonstrating a high level of motivation and initiative in the pursuit of innovative trading strategies.
Other
- Ability to work both independently with light guidance and effectively collaborate with other team members when needed.
- A minimum of two years of alpha research experience in systematic equity trading, exceptional fresh graduate with advanced degrees in quantitative majors could be considered.
- Continuous learning and development.
