About

Junior Quantitative Researcher Join a high-performing team at a top-tier investment firm focused on systematic and data-driven trading strategies. As a Junior Quantitative Researcher, you will contribute to the development of predictive models and alpha-generating signals using advanced statistical and machine learning techniques. Key Responsibilities Conduct research to identify and validate alpha signals across global markets.Analyze large, structured and unstructured datasets including market, fundamental, and alternative data.Develop and backtest systematic strategies using robust statistical frameworks.Collaborate with senior researchers, data engineers, and portfolio managers to refine models and improve performance.Build scalable research tools and infrastructure to support strategy development.Monitor and evaluate live model performance and adapt strategies as needed. Required Skills & Experience Strong programming skills in Python, C++, or similar languages.Solid understanding of statistics, probability, and machine learning.Experience working with large datasets and data wrangling techniques.Familiarity with financial markets and trading concepts is a plus.Excellent problem-solving and communication skills. Education Bachelor's, Master's, or PhD in a quantitative discipline such as: MathematicsPhysicsComputer ScienceEngineeringStatisticsQuantitative Finance Preferred Qualifications Internship or academic research experience in quantitative finance or data science.Exposure to cloud computing, distributed systems, or high-performance computing environments.