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Master Financial AI Analytics

Join our comprehensive 6-month program starting October 2025. Learn predictive modeling, risk assessment, and automated trading systems from industry veterans who've built real solutions for Vietnam's financial sector.

Apply for October 2025

Program Structure

Our curriculum combines theoretical foundations with hands-on projects using real market data. Each module builds practical skills through actual case studies from Vietnamese financial institutions and regional markets.

01

Foundation & Data Analysis

Start with core statistical concepts and Python programming. You'll work with actual trading data from Ho Chi Minh Stock Exchange to understand market patterns and data preprocessing techniques.

  • Statistical analysis with Python and R
  • Financial data preprocessing and cleaning
  • Time series analysis fundamentals
  • Vietnam market data sources and APIs
02

Machine Learning Applications

Dive deep into ML algorithms specifically designed for financial prediction. We focus on models that actually work in practice, not just theoretical concepts that look good on paper.

  • Regression models for price prediction
  • Classification for risk assessment
  • Neural networks and deep learning
  • Feature engineering for financial data
03

Risk Management Systems

Learn to build automated risk assessment tools that banks and investment firms actually use. This module covers real regulatory requirements and compliance considerations specific to ASEAN markets.

  • Portfolio risk modeling
  • Credit scoring algorithms
  • Regulatory compliance automation
  • Real-time monitoring systems
04

Trading Strategy Development

Build and backtest automated trading strategies using historical data from multiple exchanges. We'll show you how to avoid common pitfalls that destroy most algorithmic trading attempts.

  • Algorithm strategy design
  • Backtesting methodologies
  • Market microstructure analysis
  • Order execution optimization

Meet Your Instructors

Learn from professionals who've spent years building financial AI systems for banks, hedge funds, and fintech companies across Southeast Asia.

Xander Kowalczyk

Senior Quantitative Analyst

Former head of algorithmic trading at VietCapital Securities. Built risk management systems now used by three major Vietnamese banks. Specializes in emerging market volatility modeling.

Zelda Krishnamurthy

Machine Learning Engineer

Led data science teams at Singapore's DBS Bank and OCBC. Published researcher in financial time series forecasting. Her credit scoring models process over billion in loan applications annually.

Quincy Okafor

Risk Management Director

Twenty years in financial risk assessment across Asian markets. Built compliance frameworks for cryptocurrency exchanges and traditional banking. Expert in regulatory technology implementation.

Winter Nakamura-Chen

Algorithmic Trading Specialist

Former Goldman Sachs quantitative researcher. Developed high-frequency trading systems for Asian equities markets. Now focuses on training the next generation of financial technologists.