We are working with a leading equity investment manager in London that is expanding its Quantitative & Data Insights team. The firm is seeking a Data Insights Scientist with a strong quantitative background, experience in primary research, and expertise in working with alternative data. As part of the investment research team, you will analyze data and build models to inform investment decisions. Your work will directly contribute to the alpha modeling and portfolio construction process. While prior exposure to equities is advantageous, it is not essential for this role. Key Requirements: 2–5 years of experience as a Data Analyst or Data Scientist, with a focus on alternative data. A strong interest in financial markets and curiosity about company investing. Proficiency in building Shiny dashboards, adaptable web apps, and interactive visuals using Python and R libraries. Experience leveraging alternative data sources to generate actionable and reliable market insights or signals. Responsibilities: Conduct data analysis and modeling to support fundamental equity research. (Python/SQL) Perform fundamental research, develop proprietary quantitative investment models, and conduct stress and signal testing for live and simulated equity portfolios. Provide actionable insights to portfolio managers, offering feedback on holdings and investment strategies. Collaborate with data engineers to enhance the architecture of NLP models processing equity research documents. Implement, tune, and evaluate machine learning models to uncover patterns in trading or alternative datasets, enhancing portfolio manager feedback. Scrape and analyze unstructured text data to improve investment insights and portfolio management outcomes. Produce analysis on investor behavior to improve stock selection, mitigate cognitive biases, and optimize investment execution. Additional Skills (Preferred): Experience with nowcasting techniques and web scraping to enhance investment processes. Familiarity with extracting nuanced insights from data to refine stock selection processes and improve portfolio construction. If you’re passionate about leveraging data insights to drive investment decisions and want to join a dynamic and high-performing quant team, we’d love to hear from you. Apply: Please send your CV to quantresearchoctaviusfinance.com