Hello, I’m
Goh Kok Hong
AI/ML Engineer, building for financial services
I build and ship machine learning systems for financial markets: risk engines, alpha research platforms, and the production infrastructure behind them.
About Me
An AI/ML engineer applying machine learning and quantitative methods to financial markets
I’m an AI/ML Engineer currently pursuing a Master of IT in Business (Artificial Intelligence) at Singapore Management University, focused on machine learning and quantitative methods for financial markets. My recent work spans quantum amplitude estimation for portfolio tail risk, ensemble alpha models over a 515-name equity universe, and symbolic regression that discovers regime-aware risk equations.
I care about the parts of ML that are easy to fake and hard to do: leakage-free validation, honest baselines, calibration, and explainability. That rigour extends into the domain itself. I’m a CFA Level I candidate, and nine of my alphas have been accepted on WorldQuant BRAIN under its out-of-sample, turnover, and correlation criteria.
Models only matter if they ship. Years of enterprise delivery (security remediation, data migration, and test automation across Java and PostgreSQL stacks) taught me to build software that survives production, and I still run a live patient-management platform on AWS for a real clinic. I bring that same engineering discipline to every model I deploy.
Machine Learning
Gradient-boosted ensembles, deep learning and NLP for financial prediction, validated walk-forward.
Quantitative Finance
VaR & Expected Shortfall, quantum amplitude estimation, convex optimisation and alpha research.
Production ML
FastAPI, Docker, Terraform and AWS: models shipped as reliable services, not notebooks.
Research Rigour
Leakage-free evaluation, honest baselines, calibration checks and explainable methods.
Education
Master of IT in Business (Artificial Intelligence)
Singapore Management University
Bachelor of Science (Information Systems)
Singapore Management University
Diploma in Computer Engineering
Singapore Polytechnic
Projects
Quantum Risk Engine
Portfolio VaR and Expected Shortfall via Quantum Amplitude Estimation, benchmarked against Monte Carlo baselines at matched query budgets.
QRE Equation Engine
ML service that discovers and validates regime-aware tail-risk equations via sparse symbolic regression, with a React workbench.
Stocks Signal Engine
ML alpha platform: stacked XGBoost/LightGBM/LSTM ensembles with HMM regimes and FinBERT sentiment across a 515-name universe.
AWSC Clinic Platform
Production patient-management platform for a scoliosis clinic: scheduling, treatment charting, payments and a live queue on AWS.
Experience
Market Administrator
TP ICAP
Technical liaison between business users and technical teams for high-impact platform issues.
- Collaborated with Product Manager to provide user feedback and performed system integration tests using JIRA
- Acted as primary liaison between business users and technical teams for high-impact platform issues
- Initiated comprehensive process documentation using Confluence, improved operational efficiency by 70%
- Led incident management for production systems, coordinating with cross-functional teams
Entrepreneur
Golden Land Drinks
Established F&B business from inception, managing all aspects of operations and growth.
- Designed optimised workflows for inventory management, daily operations, and customer service
- Managed supplier relationships to maintain optimal inventory levels
- Reconciled daily and monthly sales transactions for accurate financial reporting
- Developed and executed targeted marketing campaigns enhancing customer engagement
Business Architecture Senior Analyst
Accenture
Led techno-functional teams delivering security remediation and data migration projects.
- Delivered Java security remediation project, resolving 250+ penetration test findings including SQL injection vulnerabilities
- Architected Selenium Java automated regression testing with reusable test modules
- Developed Java custom functions to extend Pega platform capabilities
- Led technical delivery for data migration project with sensitive data masking on PostgreSQL
Business Architecture Analyst
Accenture
Developed enterprise applications using Java and Pega in an agile methodology.
- Developed enterprise application using Java and Pega in an agile methodology
- Created Postman API testing scripts for NRIC generation and hash validation, reducing testing time by 40%
- Led automated regression testing suite using Selenium Java, increasing test coverage
- Analysed logs and debugging to diagnose complex technical issues
Functional & Testing Specialist Intern
Accenture
Supported development and testing activities for enterprise client projects.
- Developed HTML/CSS/Markdown-based content management system frontend serving as FAQ site
- Prepared test data and scripts to support client User Acceptance Testing (UAT)
- Collaborated with development teams on debugging activities and bug tracking
Junior Developer Intern
Acceset
Frontend and backend development focusing on performance and user experience.
- Implemented frontend grids and flexboxes, eliminating 40% of recurring bugs
- Collaborated with Design team to revamp application for device responsiveness
- Enhanced user experience through user journey analysis
- Optimised PHP Laravel backend code, improving application performance by 30%
Skills & Expertise
Machine Learning & AI
Quantitative Finance
Languages & Backend
Infrastructure & MLOps
Get in Touch
Let’s Connect
I’m always open to discussing machine learning, quantitative finance, or opportunities to build something together. Whether you’re hiring for AI/ML engineering in financial services or want a rigorous model shipped to production, feel free to reach out.