August 2025
Machine Learning in Financial Risk
Data without Borders: Building AI Competence across Borders · Romania
Summer course
T / 04
Teaching & learning
Teaching
Courses in financial markets, probability, digital-economy analytics and machine learning for financial risk — in the classroom and online.
Classroom
Teaching experience
Teaching roles and dates reported in the July 2026 CV.
Feb–Sep 2021
DEDA — Digital Economy & Decision Analytics
Humboldt-Universität zu Berlin
Sep–Dec 2019
Probability Theory
Sun Yat-sen University
Sep–Dec 2019
Financial Markets and Financial Institutions
Sun Yat-sen University
Open learning
Quantinar courses & courselets
Verified public course pages created by Ruting Wang. Each link opens the course on Quantinar.
Q / 01
Machine Learning in Financial Risk
Risk measures, quantile regression, penalised methods and Financial Risk Meter applications.
Open course (opens in a new tab) Q / 02FRM@China
A systemic financial risk indicator for China using tail-event dependence and quantile-LASSO methods.
Open course (opens in a new tab) Q / 03Measuring Carbon Risk Dynamics
A courselet on a dynamic carbon-risk indicator and the low-carbon premium.
Open course (opens in a new tab) Q / 04Market Responses to ETH Development Milestones
The market effects of Ethereum upgrades and protocol innovation.
Open course (opens in a new tab) Q / 05Kalman Filter
An introduction to the method, its calculation and applications.
Open course (opens in a new tab)Additional courselets
Topics listed in the CV
- Applied time-series solutions
- Pricing-kernel puzzle
- Quantile regression
- Financial Risk Meter for China and crypto markets
- Expectation Maximisation algorithm