Richard Chan
About Richard Chan
Richard Chan is a Senior Quantitative Analyst with extensive experience in data analytics and trading strategies. He has worked at various financial institutions and holds multiple qualifications in quantitative finance and data science.
Work at Piper Sandler
Richard Chan serves as a Senior Quantitative Analyst at Piper Sandler, a position he has held since 2019. In this role, he focuses on data analytics projects that integrate trading strategies with quantitative analysis. His work involves developing tools and applications specifically for Trade Cost Analysis (TCA) using programming languages such as R, Python, and SQL. Chan's expertise in quantitative analysis contributes to the firm's ability to enhance trading efficiency and manage risk.
Education and Expertise
Richard Chan has a diverse educational background in quantitative finance and data science. He earned a Bachelor of Science in Physics from The Chinese University of Hong Kong from 1989 to 1993. He furthered his studies with a Postbaccalaureate Certificate in Quantitative Studies for Finance from Columbia University in 2011. Additionally, he completed various courses, including a Certificate in Quantitative Finance from CQF Institute in 2006 and a Python Bootcamp Series in 2019. His education includes specialized training in data science and quantitative analysis, enhancing his analytical skills.
Background
Before joining Piper Sandler, Richard Chan accumulated extensive experience in quantitative analysis and programming. He worked at Weeden & Co. for nearly a decade, initially as a Senior Programmer Analyst and later as a Senior Quantitative Analyst. His career also includes a role as a Technical Specialist at Lava Trading and Citigroup, where he developed technical solutions and supported trading operations. This background has equipped him with a strong foundation in both quantitative analysis and technical implementation.
Achievements
Richard Chan has been involved in various data science projects focusing on risk management and portfolio management. His work emphasizes the integration of quantitative analysis with trading strategies, which is crucial for effective decision-making in financial markets. Chan's development of tools for Trade Cost Analysis (TCA) showcases his ability to apply technical skills to real-world trading challenges. His contributions to the field of quantitative finance are reflected in his roles across multiple organizations.