Industry-tested corporate training and hands-on workshops designed for insurance companies, financial institutions, and analytics teams seeking practical, job-ready mastery.
Master the principles of cash flow modelling, net and gross premium determination, and regulatory reserve frameworks for life insurance products.
Deep dive into general insurance actuarial analytics: loss triangles, Chain-Ladder, Bornhuetter-Ferguson, frequency-severity models, and pure premium ratemaking.
Master the Projected Unit Credit (PUC) method, demographic & economic assumptions, and actuarial valuation of post-employment liabilities under TAS 19 / IAS 19.
Bridging traditional actuarial science with modern data science: XGBoost, LightGBM, neural networks, fraud detection, customer churn, and interpretable ML.
Comprehensive hands-on training for actuarial and analytics teams modernizing from Excel to Python: pandas, polars, chainladder-python, automated pricing workflows, and stochastic loss simulation.
We deliver tailored workshops for insurance companies, banks, and consulting firms on IFRS 17, TAS 19, and advanced GLM / Machine Learning models.
Our curriculum is designed for actuarial analysts, pricing & reserving professionals, risk managers, and data scientists at insurers and consulting firms looking to master practical actuarial methodologies and modern Python/ML workflows.
Yes. All corporate workshops can be tailored around your organization's specific product portfolio, historical loss data, regulatory frameworks (e.g., OIC guidelines, TAS 19, IFRS 17), and internal technology stack (Excel, Python, or SQL).
We offer both onsite intensive in-house corporate bootcamps and live online interactive cohorts with real-world case studies, code templates, and formula workbooks.
Yes. Core modules align directly with Society of Actuaries (SOA) and Casualty Actuarial Society (CAS) examination syllabi, emphasizing both examination mastery and on-the-job application.
