Pricing Analyst - Technical Pricing - Motor
at LV General Insurance
London, England, United Kingdom -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 02 Dec, 2024 | Not Specified | 04 Sep, 2024 | N/A | Data Science,Learning Techniques,Python,Learning,Linear Models,Transformations | No | No |
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Description:
WHO WE ARE
We are not your average insurance company; in fact, we strive to be different. You will not find strict dress codes, jargon-filled documents, or unrealistic targets here. What you will find is a welcoming culture, a clear vision and teams of passionate people doing their best for our customers.
LV= GI is a large, multi-award-winning general insurance company, with nearly 7 million customers and aspirations for future growth. Having recently become part of the Allianz family, we’re proud to be one of the largest personal insurers in the UK.
Responsibilities:
ROLE DESCRIPTION
LV=GI have a new opportunity for a Pricing Analyst in the Motor Technical Pricing team based in Birmingham, Bournemouth or London. The successful candidate will play a key role in delivering models and analysis that underpin the prices we take to market.
The role offers the chance to develop and operationalise the risk cost models which are fundamental to our business. The Motor Technical Pricing team’s goal is constant improvement through the introduction of new data, expanded feature engineering and refinements to the modelling approach. Your main responsibilities would be:
Updating and improving the risk cost models and their components using a combination of industry-leading tools like Python and WTW’s Emblem software
Maintaining the high standard of technical excellence within the Technical Pricing team and supporting the rest of the business to achieve their technical excellence goals, in line with Allianz Group best practice
Your role will vary day to day, but here is a bit of what you can expect:
- Get hands-on with data from its source right through to modelling and implementation, choosing the right software tool for the job, including Databricks (SQL and Python) and Willis Towers Watson software tools Radar and Emblem
- Work with different teams and stakeholders to achieve an understanding of their needs, data requirements and expected modelling outcomes
- Analyse data, interpret output, and communicate results to a non-technical audience
- Assist in carrying out statistical model builds and updates – continually looking to improve data and processes
- You’ll be keen to learn and pro-actively develop your career, and we’ll provide many opportunities and study support, including:
- Access to the AllianzU platform for a wide range of learning resources to target the areas you want to improve
- Learning resources to improve and maintain your data science skills including a company subscription to DataCamp
- Generous study support packages for those working towards becoming a qualified actuary or another professional qualification
- The chance to be mentored by experts in the field.
- An established pathway for promotion and advancement of your career
- Opportunities to diversify your experience across a variety of product lines and secondment opportunities to other departments across LV=
- Analysts have the opportunity to attend the Allianz Global P&C (Property & Casualty) Academy. The P&C Academy accreditation helps technical people in the Allianz Group to continuously develop their knowledge as they progress in their careers. It gives recognition to technical excellence, both inside and outside Allianz Group. In addition, the accreditation supports Allianz’s claim to be the employer of choice for top technical talent in the market. The course offers:
- In-depth technical training provided by experts in Allianz Group
- Opportunities to exchange with peers from other Allianz OEs around the Glob
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Proficient
1
London, United Kingdom