Data Quality Management

Data management is key for the successful implementation of Solvency II, and insurers must take an integrated approach that involves data governance, data quality processes and data management technology.

Quality Assurance Analysis

Using our insurance experience as actuary, we can effectively ensure that your policies, contracts, claims and accounting data from multiple source systems are migrated into your new policy administration system with a maximum of completeness, correctness, and consistency.

Welcome to Brainmize actuarial consulting !

Brainmize’s approach is differently down-to-earth. Our solutions are pragmatic and appropriate to our clients’ businesses.

Dynamic Asset-Liability Management

We aim to show how sophisticated financial models can be used more directly to optimize investment strategy.

Mathematical Approach for Insurance Models

Brainmize has a long, rich tradition of developing the mathematical tools needed to address key scientific and technical needs of the Risk and Actuary department.

Best Estimate under Solvency II

Base on his experience, Brainmize can help you to choose the most appropriate method to increase the robustness of the assessment process, demonstrate that the assumptions used are appropriate, realistic and have been validated and reviewed, and the adequacy of statistical and financial data underlying used.

HR metrics and analytics

Brainmize has a great experience in HR metrics, modelling solutions architectures, implement key metrics and support system especially in forecasting of budget and estimate the pension plan employer charges.

Expertise in actuarial software

Brainmize has developed expertise and skills through our practice with clients. We deliver implemented solutions and tailored trainings.

Expertise in actuarial software

The insurance business is rich in data but facing many issues in terms of data mining.
According to regulatory requirements, insurers are looking for new skills (such as quantitative programming, computer power, predictive modelling techniques, ability to slice and dice data using advanced data mining) in combination with sophisticated and customized actuarial software.