Youngju Nielsen

Youngju is an assistant professor of School of Economics, Sungkyunkwan University (SKKU) Seoul Korea. She has been an adviser for Samsung (Asset management), South Korean multinational conglomerate company since July 2015 and an adviser for Korea's Government Employee Pension Service since October 2016. Youngju is also appearing at Wall Street Trends on CNBC Korea and writes bi-weekly column of 'Youngju Nielsen's reading global economy" for Dong-a, a leading Korean media company.

She was a columnist for "Youngju Nielsen's Wall Street Report" at Weekly Chosun, a leading Korean media company for more than three years until 2016 May. She is often invited as a speaker for companies and educational institutions. She is also often engaged with projects of public institutions such as Bank of Korea.

Prior to her recent career change to academia, Youngju had 15 years of experience in the Wall Street jobs, particularly in the field of quantitative and systematic fixed income trading and portfolio management. Prior, she was CIO and partner of systematic trading hedge fund, Quantavium capital management. Before Quantavium, she has run global interest rates portfolios at proprietary trading group of Bear Stearns, J.P. Morgan and Citi in their New York headquarter offices. She built the business, Quantitative Principal Strategy in Fixed Income (QPS FI) from the ground up at Bear Stearns as their managing director and then continued heading the same business at J.P. Morgan. Prior to career as a portfolio manager, she was a research officer at Barclays Global Investors and head of quantitative research at Allianz Dresdner Asset Management.
Youngju received Ph.D. and M.A. in Statistics (Thesis: Statistical computing, artificial intelligence on stock exchange) from University of Pittsburgh, Master in Financial Engineering from University of California, Berkeley and B.A. in economics from Yonsei University, Seoul Korea.
More info here.

Filter Courses within "Youngju Nielsen" (Click to filter)
Using R for Regression and Machine Learning in Investment (Coursera) Coursera
Sungkyunkwan University - SKKU

Using R for Regression and Machine Learning in Investment (Coursera)

Dive into the world of data-driven investment strategies with 'Using R for Regression and Machine Learning in Investment'. Learn to apply regression techniques like logistic, Lasso, and Ridge regressions using R programming. This course is designed for aspiring and professional investors who want to leverage machine learning methodologies to enhance their investment analysis skills.

Jun 29th 2026
2 Weeks
Machine Learning for Smart Beta (Coursera) Coursera
Sungkyunkwan University - SKKU

Machine Learning for Smart Beta (Coursera)

Dive into the world of Smart Beta investing with our 4-week course designed to equip you with a deep understanding of both passive and active investment strategies. Explore the intricacies of Smart Beta products, learn their creation mechanisms, and get practical experience by recreating various Smart Beta models using R programming. This course is perfect for finance enthusiasts, investors, and data scientists looking to enhance their knowledge in alternative investment strategies.

Jun 29th 2026
4 Weeks
The Fundamental of Data-Driven Investment (Coursera) Coursera
Sungkyunkwan University - SKKU

The Fundamental of Data-Driven Investment (Coursera)

Discover the secrets to successful investment with 'The Fundamental of Data-Driven Investment' course on Coursera. This course will equip you with essential skills in analyzing investments using R programming, enabling you to make informed decisions based on data-driven insights. Whether you're a beginner or looking to refine your expertise, this course offers practical knowledge and hands-on experience.

Jun 15th 2026
4 Weeks
Predictive Analytics: Solving Business Problems Using Machine Learning and Big Data (FutureLearn) FutureLearn
Sungkyunkwan University - SKKU

Predictive Analytics: Solving Business Problems Using Machine Learning and Big Data (FutureLearn)

Dive into the world of predictive analytics and discover how leveraging machine learning and big data can revolutionize your business strategy. This course will guide you through understanding and implementing predictive models to make informed decisions based on data insights.

Aug 16th 2021
4 Weeks
Introduction to Quantitative Investing (FutureLearn) FutureLearn
Sungkyunkwan University - SKKU

Introduction to Quantitative Investing (FutureLearn)

Dive into the world of quantitative investing with this comprehensive online course. Gain a solid foundation in financial economics and learn how to apply statistical and mathematical principles to real-world financial data and programming. Perfect for beginners looking to understand complex markets and make informed investment choices.

No sessions available
5-12 Weeks
Page 1