Financial Analytics & ML
Six years of building Philippines' most comprehensive quantitative finance education platform, one milestone at a time
Started in a small office in Cainta with three passionate data scientists who noticed a gap in practical financial education. We saw students learning theory but struggling to apply quantitative methods to real Philippine market conditions. Our first course had just twelve participants, but their success stories convinced us we were onto something special.
Launched our comprehensive machine learning curriculum after two years of development. We partnered with leading financial institutions across Metro Manila to provide real-world case studies. By this point, over 800 students had completed our programs, with many securing positions in quantitative analysis roles at banks and investment firms throughout the Philippines.
Now recognized as the leading quantitative finance education provider in the Philippines. We've helped over 2,000 professionals develop advanced analytical skills. Our curriculum continues evolving with new modules on artificial intelligence applications in finance, planned for launch in September 2025. We're also expanding our research partnerships with universities across Southeast Asia.
The Philippine financial sector was rapidly modernizing, but education hadn't caught up. Traditional finance programs focused heavily on theory while ignoring the practical skills employers actually needed. We watched talented graduates struggle because they couldn't bridge the gap between academic knowledge and real-world quantitative analysis.
Our founders spent years working in quantitative roles at major financial institutions. They understood exactly what skills were missing from conventional education. Rather than complain about the problem, they decided to solve it by creating something completely different.
The next three years will bring significant changes to how we approach quantitative education. We're not just adding more courses – we're rethinking how professionals learn complex analytical concepts.
Expanding into predictive modeling and alternative data sources that Philippine financial institutions are beginning to adopt for competitive advantage.
Developing practical applications of machine learning for portfolio optimization and risk assessment specific to Southeast Asian markets.
Building partnerships across ASEAN countries to share knowledge and best practices in quantitative finance education and research.
Founder & Academic Director