Position:  Senior Pricing Analyst
 
Company: Insurance
 
Location: Australia
 
Job ID: 38674
 
Responsibilities:
-Full range of actuarial and technical pricing responsibilities, including risk costs estimation using a variety of machine learning and actuarial techniques, model building and testing, optimising data and modelling processes, and consideration of internal and external factors influencing experience.
-Producing and presenting analytical insights, visualisations and reports to key stakeholders.
-Making data driven technical pricing recommendations based on risks, claims and customer behaviours.
-Identifying and recommending opportunities and improvements to enhance efficiency, effectiveness, accuracy and level of insights generated.
-Adhering to appropriate model validation protocols, from cross validation to in-market testing to peer review, depending on the circumstance; and observing relevant risk management techniques and controls.
-For senior roles:
-Leading and managing technical modelling and strategic pricing projects.
-Guiding, mentoring and supporting junior and fellow analysts, particularly where new techniques are adopted.

Qualifications:
-Tertiary qualifications in Actuarial, Mathematical, Statistics, Data Science or other analytical disciplines.
-Experience in the analysis of complex data, preferably in general insurance actuarial/analytical roles.
-Experience and knowledge of analytical software such as SAS, R, Python and SQL.
-Experience building dashboards in programs such as Shiny and Tableau.
-Strong verbal and written communication skills, in particular the ability to communicate technical concepts clearly and concisely to a range of stakeholders.
-Experience in actuarial/technical pricing methods; and the design, build and evaluation of pricing models are advantageous.
-Experience using/building machine learning algorithms and advanced skills in statistical analysis, quantitative/predictive analytics, multivariate testing and optimisation algorithm are desirable.
-Insurance industry domain knowledge and familiarity with relevant legislation and regulatory environment are desirable.