Data Scientist / Pricing Analyst - Insurance

£30000 to £40000 per annum
09 Mar 2018
06 Apr 2018
Simona Zalyte
Contract Type
Full Time

City of London

You will be joining a leading London Market Insurance company where as a Data Scientist / Pricing Analyst you will be assisting with development of pricing models and pricing cycle process.

Skills and Requirements:

- Master`s degree in Data Science or highly numerate subject
- Experience in using data manipulation & statistical software packages such as R, Python, SAS, EMBlem, RADAR, Excel/VBA, SQL Server
- Advanced skill in at least one of the aforementioned packages
- Knowledge of advanced modelling
- Ability to create suitable visualisations of complex and large data sets utilising packages such as Power BI,
- Logical thinker able to devise and assess multiple approaches to solving problems
- Innovative & creative when reviewing and improving processes
- Comfortable to work with people inside and outside of the pricing team
- Commercially and Financially aware
- Effective communication skills including strong presentation skills
- Insurance

Product and Technical Knowledge:

- Ability to analyse data for the purposes of effective proposition Pricing.
- Experience in handling complex datasets and utilising them in structured analysis
- Being commercially aware and help enhance the businesses profitability

Key Responsibilities:

- To build new and enhance current pricing models by using advanced Actuarial and Data Science techniques
- Work closely with other area of the business to ensure the aims and impacts of any pricing change are conducive to the objectives of the product.
- Analyse data and monitor performance of products.
- Ensure that the execution of the pricing delivery plan is on time and to a high standard
- Work with Pricing Management to ensure that activity is aligned with the Pricing Strategy and wider business objectives.
- Support the development of MI & reporting processes within the Pricing team.
- Help develop a robust price change control process. Support the Deployment Team to design & implement effective testing of change to increase accuracy in deployment and understand risk.
- Support the design, maintenance and enhancement of pricing databases to improve data quality and value of analysis.
- Research and introduce new sources of data to the company.
- Identify issues with data integrity and raise through the appropriate channels.
- Continuous development of capability through on the job learning, meet-ups, on-line courses and other external learning activity. Maintain a knowledge of developments in data science and pricing methodologies within and outside of the insurance industry.
- Comply with all legal/regulatory provisions and the pricing governance framework.

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