Research Consultant Worldquant Brain
• Conducted quantitative research and data analysis on financial markets, evaluating stocks using fundamental, price, volume, and sentiment indicators.
• Assisted in alpha generation through strategy research, model validation, and backtesting using Python and statistical techniques.
• Researched and implemented model validation and performance testing frameworks using quantitative metrics.
• Utilised Python APIs and data pipelines to automate data ingestion and accelerate simulations and backtesting workflows.
• Explored and analysed diverse datasets, including fundamentals, earnings, analyst estimates, price–volume data, options data, and social media sentiment, to inform trading and investment strategies.
