AI ML Quantitative Researcher

Key Responsibilities: Develop machine learning models to evaluate and select financial signals for trade execution based on market conditions Design frameworks to dynamically combine and weight signals, improving portfolio performance and robustness Build automated monitoring systems for live strategies to assess performance and support real-time risk management

Required Qualifications: Master's or Ph.D. in quantitative finance, financial engineering, computer science, or a related field At least 5 years of experience applying machine learning techniques and trading algorithms to financial markets Proficiency in Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch In-depth understanding of financial markets, trading strategies, and risk management principles Strong analytical skills with a proven track record in developing trading algorithms with measurable portfolio impact