Deputy Manager - Actuarial

Role Overview: You will be responsible for developing, maintaining, and enhancing non-life pricing models using GLMs/machine learning techniques and advanced actuarial methods. Your technical skills in Python, R, SQL, PowerBI/Qlik will be crucial in this role. Additionally, you will contribute to the development of GenAI-driven solutions for pricing automation and modeling workflows. Your ability to communicate complex technical concepts clearly to non-technical stakeholders will be essential in this position. Key Responsibilities: - Hands-on experience with Python, R, SQL, PowerBI/Qlik - Good understanding of General Insurance concepts - Develop, maintain & enhance non-life pricing models using GLMs/machine learning techniques and advanced actuarial methods - Build dashboards in Power BI to communicate pricing insights and performance metrics - Prepare price monitoring reports to track price trends and identify potential areas of adjustment - Contribute to the development of GenAI-driven solutions for pricing automation, documentation, and modeling workflows - Knowledge of reserving concepts, including claims development patterns and loss ratio analyses - Strong analytical and problem-solving skills - Strong communication skills, both verbal and written - Ability to work through stringent timelines - Ability to utilize effective listening skills to understand and comprehend the clients' needs Qualifications: - Minimum 5 years of experience in General Insurance - Graduate/Master in any stream (computer science/Actuarial science/Statistics/Mathematics is preferred) (Note: Additional details about the company were not provided in the job description) Role Overview: You will be responsible for developing, maintaining, and enhancing non-life pricing models using GLMs/machine learning techniques and advanced actuarial methods. Your technical skills in Python, R, SQL, PowerBI/Qlik will be crucial in this role. Additionally, you will contribute to the development of GenAI-driven solutions for pricing automation and modeling workflows. Your ability to communicate complex technical concepts clearly to non-technical stakeholders will be essential in this position. Key Responsibilities: - Hands-on experience with Python, R, SQL, PowerBI/Qlik - Good understanding of General Insurance concepts - Develop, maintain & enhance non-life pricing models using GLMs/machine learning techniques and advanced actuarial methods - Build dashboards in Power BI to communicate pricing insights and performance metrics - Prepare price monitoring reports to track price trends and identify potential areas of adjustment - Contribute to the development of GenAI-driven solutions for pricing automation, documentation, and modeling workflows - Knowledge of reserving concepts, including claims development patterns and loss ratio analyses - Strong analytical and problem-solving skills - Strong communication skills, both verbal and written - Ability to work through stringent timelines - Ability to utilize effective listening skills to understand and comprehend the clients' needs Qualifications: - Minimum 5 years of experience in General Insurance - Graduate/Master in any stream (computer science/Actuarial science/Statistics/Mathematics is preferred) (Note: Additional details about the company were not provided in the job description)