Mô tả công việc
Conduct research on quantitative strategies for stock market investments. Generate ideas for strategic investment. Backtest and optimize parameters for strategies using Python and data models. Analyze historical data to identify potential market trends. Apply machine learning techniques to enhance prediction accuracy. Collaborate with the team to develop innovative investment approaches. Continuously refine models to improve performance based on new data.
Yêu cầu ứng viên
Final-year student or recent graduate in Finance, Mathematics, Computer Science, Data Science, or related fields. Strong analytical thinking and problem-solving skills. Proficiency in Python programming, including data analysis using Pandas and NumPy. Basic understanding of financial markets and investment concepts. Ability to work independently, conduct self-directed research, and learn new concepts quickly. Knowledge of quantitative finance, machine learning, statistics, or algorithmic trading is an advantage. Progress toward or completion of professional certifications such as CFA, FRM is plus A GitHub portfolio, personal research projects, Kaggle competitions, or published investment research will be considered an advantage.
Quyền lợi
Competitive base salary with performance-based bonuses. Fast-track opportunity to become a full-time Quantitative Researcher for candidates who demonstrate outstanding performance and research capabilities. Structured training in quantitative research, systematic trading, and financial markets. Access to real-world market data, proprietary research frameworks, and professional research tools. Opportunity to work directly on live quantitative research projects and alpha development. Flexible working hours with a results-oriented culture; employees are expected to meet project deadlines and deliver high-quality research outputs. Mentorship from experienced quantitative researchers and investment professionals. Continuous learning environment with exposure to quantitative finance, machine learning, statistics, and algorithmic trading.