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Madison Insurance Group
Banking + 2 more
Description
Knowledge & Work Experience
- Understanding of general insurance principles and familiarity with statistical modelling, data analysis, and quantitative problem-solving techniques.
- Awareness of the regulatory and business environment within the insurance industry.
- Prior actuarial or insurance industry experience is desirable but not mandatory.
- Internship, industrial attachment, academic projects, or practical experience involving data analysis, statistical modelling, or insurance related work will be an added advantage.
Academic and Professional Qualifications required
- Bachelor’s degree in Actuarial Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Progress towards a recognized actuarial qualification (SOA, IFoA, CAS, or equivalent), with at least one actuarial examination passed being an added advantage.
- Demonstrated proficiency in quantitative analysis and use of analytical software tools.
Responsibilities
- Support the preparation of actuarial analyses relating to pricing, reserving, portfolio performance, and profitability.
- Assist in the development, maintenance, and enhancement of actuarial models and analytical tools.
- Perform data extraction, validation, and analysis to support actuarial investigations and business decision-making.
- Support pricing reviews and contribute to the assessment of rate adequacy across business lines.
- Assist in monitoring portfolio experience and identifying company and industry trends in claims, premiums, expenses, and other key performance indicators.
- Contribute to the development of new products and enhancement of existing products.
- Prepare actuarial reports, management information, and regulatory submissions as required.
- Collaborate with underwriting, finance, operations, and other business units to provide actuarial insights and support.
- Ensure actuarial work complies with applicable regulatory requirements, professional standards, and company policies.
- Participate in initiatives aimed at improving actuarial processes, data quality, automation, and reporting efficiency
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