Key Tasks & Responsibilities:
•Apply sophisticated, cutting-edge statistical techniques to very large data sets in the course of predictive modelling and various analytical projects.
•Examples of the techniques include Decision Trees, Clustering, GLM, Text based analytics
•Build complex tools and analytical models for use by business operations and/or functional groups (e.g. Pricing, Underwriting, Marketing, Claims etc.).
•Produce meaningful observations and recommendations through synthesizing data from internal and external sources. (e.g. economic, weather, customer sat, social media activity, etc.).
•Present findings / recommendations to management
•Carry out predictive modelling and other analyses to solve business problems.
•Perform data preparation steps, including extraction of target data from multiple databases, integration of multiple datasets, and creation of derived variables, application of business rules, and quality control checks
•Collaborate with other advanced analytics staff to share best practices in predictive modelling and build the advanced analytics community
•Master's degree in Mathematics, Computing, Statistics or another quantitative field plus some working experience of applied business/non-academic experience preferred.
•For non-Masters’ Degree candidates, Bachelor's Degree (minimum 2.1) and minimum of 3 or more years, of applied business / non-academic experience, or equivalent.
Experience & Knowledge:
•Identification of relevant statistical techniques for addressing various problems.
•Interpretation of results mathematically and strategically
•Strong technical background; comfortable with programming and / or use of statistical software packages SAS, SQL, VBA, C++ and Excel. Knowledge of Java
•Ability to identify and communicate limitations of tools and methods
•Knowledge of data sources, tools and business drivers
•Understanding of the insurance industry, including external influences and internal functions
•Effective communicator with the ability to generate and present insights in a way that can be clearly understood by both technical and nontechnical audiences.
•Able to plan own work to meet deadlines
•Ability to adapt to evolving techniques and changing business challenges
•Ability to find creative solutions to problems
•Highly motivated to deliver consistent high performance
•Good interpersonal skills, works closely with other individuals / teams to achieve goals.
•Seeks to maximise the benefits of a team focussed organisation and supports collaboration
•Able to collect, analyse and challenge technical information
•Distils complex quantitative and qualitative information into key facts and makes well-reasoned recommendations to management
For more information please contact Jenny at 016099409 or firstname.lastname@example.org.
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