Snr Market Pricing Analyst
Ageas
Salary From:
£38,000.00
Permanent
Bournemouth
Fantastic opportunity to join our Market Pricing team as a Senior Pricing Analyst, assisting to plan and deliver pricing related projects to deadline and quality standards. You will directly influence the future growth of the business, with key deliverables to increase conversion, retention and overall company income and profitability. You will work closely with cross-functional teams across all products to develop and implement optimisation models, analyse market trends, and make data-driven decisions to ensure our pricing strategies align with our business objectives. The role will involve the management of detailed analysis of data using sophisticated machine learning and statistical techniques within price optimisation to recommend pricing actions which increase volume, income and profit. In addition, the Senior Pricing Analyst will build pricing capability and core skills within the business, as well as influence the strategic direction of retail pricing in the wider Ageas UK Group.
Develop, validate, review and approve models of customer and market behaviour; incorporating machine learning into behavioural models; including the exploration of new techniques to improve model predictiveness.
Development and maintenance of pricing models and support for their deployment.
Carry out price optimisation and improve on existing price optimisation processes using innovative techniques; prepare recommendations for senior stakeholders.
Develop a balanced view of current and future pricing performance by combining MI, modelling results and company targets.
Inform and influence senior management, heads of department and peers across the Direct Business Unit and Underwriting departments.
Experience in insurance pricing or related analytical background.
Experience of price optimisation.
Experience in using Emblem, Radar, Databricks or industry equivalent.
Highly skilled in the use of programming language (e.g. SAS) to manipulate data.
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.
analytical, databricks, emblem, price optimisation, radar