Casualty Pricing & Modelling Analyst

Job 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.

Experience

·  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.

Personal Competencies

·  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.

 

Key duties and responsibilities

Large account pricing

·  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.

Develop, test, maintain and enhance pricing tools

·  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).   

Portfolio Analysis

·  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.