Summary
Jayden Tan is a global macro research analyst and data scientist based in Singapore with nine years of experience blending quantitative analysis, software development, and market research to inform trading ideas. He builds end-to-end tools—having created Streamlit web apps and advanced web-scrapers—to surface macroeconomic trends and commodity signals, and has published market primers on US and Canadian rates and derivatives. Comfortable in both Python and VBA, Jayden has applied his skills across prime brokerage, quant research internships, and a data-driven role at Helixtap analyzing rubber markets and integrating unconventional signals like weather. A former combat medic and national floorball athlete, he brings discipline and real-world crisis management to fast-paced research environments. Currently pursuing exchange studies in finance and computer science at Aarhus BSS, he pairs rigorous academic training (First Class Hons, NUS) with hands-on engineering to turn complex datasets into actionable investment insights.
9 years of coding experience
Singapore-Cambridge GCE Advanced Level, Singapore-Cambridge GCE Advanced Level at Raffles Institution
Student Exchange, Finance & Computer Science, Student Exchange, Finance & Computer Science at Aarhus BSS - Aarhus University
Bachelor of Science - BS, Business Analytics with a Second Major in Statistics, First Class Honours, Bachelor of Science - BS, Business Analytics with a Second Major in Statistics, First Class Honours at National University of Singapore