Job Title:Risk Pricing Analyst
Target Start Date:ASAP
Contract Type: Permanent, Part Time, Full Time, Job Share option available
Salary Range:Up to £40k DOE
Location: London, hybrid
Work Level:3Hiring Manager:Hetal Sumaria
Risk Pricing Analyst:The Risk Pricing Analyst will assist senior pricing analysts to conduct detaileddata analysis using sophisticated actuarial and statistical techniques toinform pricing actions aimed at increasing volume, income, and profit. Thesepricing actions will have a direct and immediate impact on the business’sfuture profitability and growth, with key targets to increase conversion,retention, and achieve target loss ratios.
ARisk Pricing Analystfocuses on evaluating and pricing the risk associatedwith products, using statistical models to predict future risks and ensureregulatory compliance.
Incontrast, a Strategic Pricing Analysttakes a broader approach, focusingon long-term pricing strategies that enhance the company’s market position andprofitability through advanced analytics, market research, and strategicrecommendations.
Main Responsibilities:
* Dataset Development:Create and maintain up-to-date and accurate datasets for modelling, pricing, and monitoring.
* Data Management:Ensure the accuracy and appropriateness of data used for modelling, pricing, and monitoring.
* Predictive Model Development:Develop and validate predictive models, including machine learning models.
* Pricing Analysis and Model Maintenance:Conduct pricing analyses and prepare options for senior stakeholders.Develop and maintain pricing models, supporting their deployment.
* Performance Monitoring:Develop a balanced view of current and future pricing performance by combining MI, modelling results, and company targets.
Skills and experience:
* A good quantitative degree, e.g. in Statistics, Mathematics or Actuarial Science.
* Knowledge of insurance products and distributions (direct, intermediary, aggregators).
* Experience of using statistics to explore and validate data, extract and manipulate large datasets for analysis.
* Experienced in the use of programming language (e.g. SAS) and/or statistical packages e.g. actuarial pricing software.
* Experience in SOME of the following predictive modelling techniques e.g.Logistic Regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector Machines and Neural Nets is beneficial but not a requirement, andin the use of a programming language (e.g. R, Matlab, Python or Octave).
To find out more about this role and for information please contact Zoe Powell OR Hetal Sumaria.
Alternatively, click on the “Apply Button” to be considered.
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