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Casualty Pricing

Il y a 4 mois


Paris, France SCOR Global Life Temps plein

This role would suit an Actuarial Analyst or a fresh graduate who would like to take the next step in their career and broaden their knowledge. It provides the opportunity to work within a diverse, and growing pricing team who oversee a global book of Casualty and Financial Lines business. SCOR, the 4th largest reinsurer in the world, provides insurance companies with a diversified and innovative range of solutions and services to control and manage risk. Leveraging experience and expertise to deliver “The Art & Science of Risk”, SCOR provides cutting-edge financial solutions, analytics tools and services in all areas related to risk – from Life & Health and Property & Casualty insurance to Investments. Our specialized teams operate in over 160 countries, fostering long-term relationships with clients. In order to provide our clients with a broad range of innovative reinsurance solutions, SCOR pursues an underwriting policy that is founded on profitability and supported by effective risk management strategy and a prudent investment policy. This approach allows us to offer clients an optimum level of security, to create value for shareholders, and to contribute to the welfare and resilience of society by helping to protect insureds against the risks they face. At SCOR, we believe that employing people from different backgrounds and ensuring inclusivity is a major driving force for the success of the Group. We are committed to fostering a work environment in which all employees are treated fairly and respectfully, have equal access to opportunities and resources, and can contribute fully to SCOR’s success. ExperienceDegree in Mathematics, Actuarial Science, Computer Science, Engineering or equivalentSolid understanding of basic ratemaking concepts on exposure adjustments, trend, loss development, exposure rating and experience rating.Proven pricing experience in P&C insurance with recent Lloyd’s / London / French / European Markets experience is desirable, but not compulsory.Experience pricing Excess Casualty, General Liability, Directors and Officers and Professional Liability is desirable, but not compulsory.Strong problem-solving skills.Ability to handle large, complex datasets.Working knowledge of coding in R, Python, SQL and VBA.Knowledge of Git and DeepKube is a plus.Personal CompetenciesEffective communication and collaboration skills with excellent interpersonal verbal and written skills that enables the candidate to communicate with colleagues from non-actuarial team.Stays up to date with new/emerging knowledge in actuarial pricing as well as in respect of major market and underwriting related issues. Has a commercial outlook but with a principled stand where required and contributes to create viable and innovative solutions that outperform competitors and differentiates SCOR.Fluent in French and English. Spanish a plus.Key duties and responsibilitiesLarge account pricingPre-process loss run and exposure data for large account pricing. Compare loss run between expiring and renewal, identify inconsistencies, reach out to underwriters for clarification and/or request for additional data.Review submission material and expiring binders for our layer and underlying layers to understand insurance structure, terms & conditions.Price large accounts using account’s data, leverage portfolio level data if account’s data is not credible.Gather account level data to compile portfolio level data, establish benchmark frequency, severity selection by class of business.Ensure that all accounts priced adheres to appropriate pricing peer review process as defined in Specialty Insurance Pricing Guidelines.Develop, test, maintain and enhance pricing toolsMaintenance of pricing tools including technical documentation/specifications/parameter update.Refresh, clean and prepare data from third party vendor for model input. Refresh/enhance generalized linear models in R. Calibrate pricing tools, train/troubleshoot questions from underwriters. Build/maintain sql database to store rating parameters and pricing results. Maintain python code and pipeline on remote repository to automate downloading of policy data into sql database.Connect sql database, DeepKube with Excel raters to allow data to flow back and forth. Migrate Excel raters to Underwriting Platform (UP). Portfolio AnalysisAssist in studies to improve pricing methodology and predictiveness of pricing analyses.Create portfolio monitoring tools to aid the monitoring of pricing adequacy by segments.Posting Date: 2024-01-15