- Pre-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.
- Maintenance 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).
- Assist in studies to improve pricing methodology and predictiveness of pricing analyses.
- Create portfolio monitoring tools to aid the monitoring of pricing adequacy by segments.
- Degree in Mathematics, Actuarial Science, Computer Science, Engineering or equivalent
- Solid 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.
- Effective 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.
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Casualty Pricing - Paris, France - SCOR
Description
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.
Key duties and responsibilities
Large account pricing
Develop, test, maintain and enhance pricing tools
Portfolio Analysis
Experience
Personal Competencies
