Responsibilities
- Collaborate with and support Quantitative Researchers and Traders on signal/alpha and strategy development
- Collaborate with external exchanges to integrate and optimize trading operations, ensuring seamless connectivity and data exchange.
- Build a robust, expandable research infrastructure, including global market data analysis, automated alpha/signal search, simulation, and performance evaluation
- Build a platform to process all parts of quant trading - data processing, model building, optimization, and execution
- Build visualization, monitoring, and reporting tools for live trading and simulation (market/position/profit and loss/any other statistics related to trading)
Qualifications
- Bachelor’s degree or higher in computer science or other quantitative disciplines
- Proficiency in C++ and Python
- Understanding of object-oriented programming
- Experience in Unix/Linux environments
- Ability to manage multiple tasks and thrive in a fast-paced team environment
- Excellent analytical skills
- Ability to take the initiative and work without detailed guidance or supervision
Preferred
- 2+ years of experience and proven track records in the software development industry or relevant experience (portfolio of achievement while in Master's or Ph.D. program, for instance)
- Experience in quantitative analysis and algorithms
- Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP)
- Proficient English communication skills for business conversations and written communication
Hiring process
- CV/ Resume Submission
- Coding & Math test
- 1st round interview
- 2nd round interview