Quantitative Researcher

Role & responsibilities

• Conduct rigorous quantitative analyses on financial data to identify predictive patterns and signals forecasting equity returns.
• Develop, test, and refine predictive models to generate robust trading signals.
• Collaborate closely with the CIO, research team, and trading team to translate quantitative insights into actionable trading strategies.
• Manage the full lifecycle of research projects, from hypothesis formulation through back-testing, validation, and live implementation.
• Continuously monitor model performance, adapting strategies as market conditions evolve.
• Enhance and maintain existing quantitative research infrastructure, tools, and data processing workflows.

Preferred candidate profile

• Bachelors degree in a quantitative discipline (Mathematics, Statistics, Physics, Computer Science, Electrical Engineering, or related fields) is required; a Master’s degree or Ph.D. in a quantitative discipline is strongly preferred.
• 3–5 years of direct experience in quantitative research or strategy development at a hedge fund, proprietary trading firm, or quantitative financial institution; prior experience specifically with equity markets and equity-oriented quantitative strategies is highly desirable.
• Demonstrated experience managing, cleaning, and analyzing medium to large datasets, including financial time-series and alternative datasets; familiarity with portfolio optimization techniques and risk modeling frameworks is beneficial.
• Solid foundation in statistical methods with practical experience applying statistical and machine learning techniques to financial data; experience integrating quantitative models into live trading environments is strongly preferred.
• Strong proficiency in Python programming, including libraries such as Pandas, NumPy, scikit-learn, and related data science tools.
• Exposure to distributed computing environments, databases, and cloud-based platforms for quantitative research is beneficial.
• Excellent analytical abilities, critical thinking skills, and meticulous attention to detail.