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CODE: NF12
DURATION: 3 Days | 5 Days | 10 Days
CERTIFICATIONS: CPD
This course provides a practical framework for leveraging predictive analytics to strengthen risk management in the financial and insurance sectors. The curriculum explores how statistical models, AI, and machine learning techniques can be applied to anticipate risk, forecast losses, optimize underwriting, and improve investment decisions. Participants will gain hands-on exposure to predictive modelling tools and case studies, equipping them with the skills to transform raw data into actionable insights that drive resilience, profitability, and compliance in dynamic financial markets.
This course is available in the following formats:
Virtual
Classroom
Request this course in a different delivery format.
Course Outcomes
Delegates will gain the knowledge and skills to:
Comprehend the fundamentals of predictive modelling and risk intelligence.
Apply machine learning and statistical models to insurance and finance risk scenarios.
Use predictive analytics for underwriting, credit scoring, and investment forecasting.
Build and deploy models for key financial applications.
Communicate risk insights to both technical and non-technical stakeholders through visualizations and reports.
Evaluate regulatory and ethical considerations in AI-driven risk models.
Integrate predictive modelling frameworks into enterprise risk management systems.
At the end of this course, you’ll understand:
This course is designed for risk managers, actuaries, insurance professionals, financial analysts, investment strategists, consultants, data scientists, and compliance officers. It is also valuable for executives, policy makers, and consultants who need to understand how predictive modelling can be used to strengthen enterprise-wide risk intelligence and improve decision-making.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
