Actuarial Manager

Academic Requirement - Graduate / Post Graduate degree in Mathematics, Computer Science, Economics or Statistics, Strong progress in Actuarial Exams, Should have completed atleast 5 Actuarial papers

Experience : Minimum 3 years of General Insurance experience in an actuarial or analytics role preferably in Motor LOB

Competencies

Analytical Skills

: Strong mathematical and statistical abilities to perform

complex calculations and analyze data effectively.

Communication Skills

: Exceptional ability to explain complex actuarial

concepts to non-actuarial stakeholders and lead a team effectively.

: Familiarity with actuarial software (e.g. ResQ, Emblem) and programming languages (e.g., SQL, Python, SAS) for data analysis and predictive modeling

Primary Responsibilities-

Monitoring of KPIs in Motor LOB

Drive implementation of IFRS 17 and RBC frameworks

Leverage internal and industry data to create predictive models that can be used for portfolio pricing and monitoring

Prepare supporting material for valuation submission

Collaborate with key internal stakeholders like, finance, retail and underwriting, to develop strategies to mitigate risk

Hands on with Motor LOB & Predictive modeling

Conduct independent research and present data findings as assigned

Prepare and present reports on findings and recommendations to senior management / stakeholders.

Involve in product development and product pricing ensuring they are competitive and profitable

Ensure compliance with regulatory requirements and stay updated on industry trends and developments.

Prepare documentation for rate reviews, pricing models, and regulatory filings