Traditional Actuarial Services
We provide actuarial services in various stages of product value chain starting from product design and pricing, valuation/reserving, experience analytics and reporting. We operate in several domains
Pricing for term, endowment, and other life insurance products. Designing products that suit the risk appetite and strategic aspirations of the company.
Designing systems that analyze the experience of the portfolio and advise on potential changes to product design to improve business results. Automated workflows and calculators are provided to perform experience analytics more frequently and optimally.
Traditional valuation methods focused on portfolio-level reserves. Advanced statistical techniques are used for assumption setting to help assess reserves at a more granular detail and achieve reserve optimization.
Assisting companies in making optimal reinsurance decisions by developing models that balance traditional and non-traditional financial reinsurance solutions.
Specialized experience in rating property and casualty business. Product-level recommendations control risk while satisfying customer needs, using advanced statistical and machine learning techniques.
Using advanced statistical and machine learning techniques to substantiate and improve actuarial reserving methods, traditionally focused on IBNR estimation at the line of business level.
Helping companies make optimal reinsurance decisions with models that balance traditional and non-traditional financial reinsurance solutions.
Expertise in designing and pricing health insurance products, including health medical, hospital cash, surgical cash, and critical illness products. Experience in pricing large health insurance schemes using advanced statistical techniques.
Developing insurance-based risk solutions for Cancer, leveraging cross-market experience and predictive modeling approaches to address this unique health risk.
Advising on product design, pricing, operations, and risk transfer mechanisms for self-insured group health insurance schemes.
Designing systems that analyze portfolio experience and suggest changes to product design for improved business results, with automated workflows and calculators for frequent and optimal experience analytics.
Enhancing traditional actuarial reserving methods with advanced statistical and machine learning techniques to improve decision-making in estimating IBNR at the line of business level.
Developing reinsurance models that balance traditional and non-traditional financial reinsurance solutions for optimal decision-making.
Designing systems that analyze portfolio experience and advise on changes to improve business results. Advanced statistical techniques like generalized linear models are used to assess portfolio experience at a detailed level.
Applying advanced statistical techniques for assumption setting to optimize reserves at a granular level, with insights into long-term liabilities using stochastic methods and advice on asset management.
non-Traditional Actuarial Services
Our experience in implementing actuarial techniques in non-traditional areas sets us apart. We have proven experience in working in several areas outside of traditional actuarial domains
Designing and pricing index-linked products for risk management of real estate asset value.
Building tailor-made, country-specific models using neural networks and statistical time series models to manage the risks associated with crop insurance, addressing both supply and demand uncertainties.
Articulating your company’s problems and needs, offering and assessing solutions, and suggesting an implementation roadmap for the selected ones.
Developing low ticket, low coverage insurance product bundles with innovative delivery, tailored for developing and under-developed markets with high growth potential.
Providing capital market-based risk management solutions for microfinance organizations, using predictive modeling to measure and diversify credit risk.
Supporting startups in the electric vehicle industry with project appraisal, product design, innovative pricing models, and assessing capital requirements for the evolving sector.
Actuarial Data Science
Actuarial data science is the future of risk management, and it is essential for businesses of all sizes to embrace it. We have the following works in our arsenal
Utilizing machine learning to identify deep patterns in data, particularly for insurance claims fraud detection. Combining actuarial and data science techniques to build effective fraud detection and prevention models.
Applying predictive modeling and machine learning techniques to generate insights that directly impact business. Enhancing actuarial models with predictive analytics for customer acquisition, underwriting, and claims modeling to create a competitive edge.
Specializing in advanced statistical techniques to set actuarial assumptions for pricing, reserving, and data analytics.
Automating daily processes to improve speed and reduce costs by developing tools in R and Python, enhancing the processing of large data and overcoming the limitations of spreadsheet modeling.
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