Justin Chan Bio

Justin Chan

Senior Actuarial Data Scientist, Swiss Re

Singapore

Justin is a qualified actuary working in data science within the insurance industry. Whilst invigorating actuarial techniques with big data and machine learning algorithms, his domain has widened to include customer and healthcare analytics, sales dashboarding and project management. As an alumni of GA's Web Development Immersive course, he is no stranger to web-scraping Singapore’s real estate data, nor coding a Candy Crush clone from scratch.

Justin volunteers with the Institute and Faculty of Actuaries’ "The Cashless Society" Working Party, providing thought leadership and co-authoring several papers on various aspects of countries going cashless. He also volunteers as a Reflective Practitioner and has experience in life reinsurance pricing, group business valuation, experience analysis, financial modelling and Solvency II.

Justin Chan

Upcoming Courses

Previously (9)

Data

Data Science Immersive

Jumpstart an in-demand career as a data scientist, data analyst, or business intelligence analyst. Build fluency in essential skills through this 12-week, full-time program.

4 Times

Data

AI for Data Analysis and Visualization | One-day Workshop

Tired of spending hours in spreadsheets every week? Our one-day workshop will teach you how to get the same work done in minutes using Generative AI for data analysis.

2 Times

Data

1 Day Python Crash Course

This workshop is a stand-alone 1-day crash workshop to Python programming, and also a recommended refresher for participants planning to enrol in GA's data science courses.

Data

Pivoting Into a Career in Data Science

Join us as we demystify the world of Data Science.

AI for Insightful Data Analysis

Discover how to use AI tools to explore data, generate insights, and create visualisations—even if you’ve never coded before.

Want to teach at ga?

Join our global community of instructors and help shape the next generation of industry leaders — while moving your own career forward with proven subject matter expertise, leadership experience, and public speaking skills. Teach online or on campus, full-time or part-time.

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