Moayad Altamimi

Turning data into impactful stories.

Performance Dashboards.

- Lead the overall design and implementation of the dashboard.
-Define the key performance indicators (KPIs) and objectives for the dashboard.
- Develop actuarial models to calculate KPIs such as (loss ratios, claim frequencies, average claim costs, ... etc).
- Work with IT and data specialists to ensure accurate and timely data feeds into the dashboard.

IFRS 17.

- Oversee the actuarial aspects of the IFRS 17 implementation.
- Help the appointed actuary of Develop and validate actuarial models that comply with IFRS 17 requirements.
- Conduct financial impact analyses.
- Collaborate with finance, accounting, and IT teams to ensure integrated implementation.
- Provide actuarial insights to senior management and stakeholders.

IFRS 17 Engine.

- Algorithm Design: Actuaries design algorithms to calculate key metrics such as the Contractual Service Margin (CSM), risk adjustment, and fulfillment cash flows.
- Programming: Use programming languages (e.g., Python, R, or specialized actuarial software) to implement these algorithms.
- Statistical Methods: Apply statistical and actuarial methods to develop robust models that can handle large datasets and complex calculations.

AI.

- Predictive Analytics: Build a model that can predict future trends or outcomes based on historical data, such as stock prices, sales forecasting, or customer churn.

- Face Recognition: Develop a system that can recognize and authenticate individuals based on their facial features.

- Image Classification: Develop an AI model that can classify images into different categories, such as identifying types of animals, vehicles, or objects.