Insurance Pricing Analysts - 2621
Darren Rossiter, North Stoneham, Eastleigh
Insurance Pricing Analysts - 2621
Salary not available. View on company website.
Darren Rossiter, North Stoneham, Eastleigh
- Full time
- Permanent
- Onsite working
Posted 2 weeks ago, 7 Nov | Get your application in now before you miss out!
Closing date: Closing date not specified
job Ref: 56658c87d37d4d1293a88bc81c386233
Full Job Description
- Carry out pricing reviews of Ageas standard portfolios and key accounts, through analysis of the profile, mix trends and performance including by rating factors, new business acquisition and renewal retention.
- To make pricing changes/recommendations as appropriate, engaging actively with Underwriting and distribution teams, to control areas of poor performance and optimise profitable growth and to present these at the appropriate sign off committee.
- Produce, monitor, and report on new and current management information to support pricing findings.
- Identify opportunities to challenge and improve existing methodologies and models and work with others to deploy new analytical techniques that deliver new insights and tangible operational improvements
- Support Underwriting teams in reviewing new, enhanced or alterations to the product covers and recommending appropriate pricing changes.
- Work with internal and external IT developers, Test teams and project managers to support delivery and implementation of pricing structures and rates.
- Support Distribution teams in achieving volume and premium targets, whilst maximising income and understanding, anticipating and reacting to competitor movements.
- Create complex, robust statistical models, including machine learning and behavioural models and interpret the results to deliver high impact, innovative pricing
Do you have experience in Pricing? Our Pricing department are expanding to deliver exciting new projects, and are looking to bring onboard a range of Personal Lines Pricing Candidates. These will join teams as Senior and Lead Analysts, as well as Pricing Managers, based (on a hybrid basis) in our offices throughout the UK. This is a hugely exciting time for Ageas - we are expanding and have a plethora of roles available across Risk and Retail Pricing covering both motor and household product lines! You will engage with the Underwriting team, Actuarial and Data Science teams, Test Teams and IT Developers, and Trading teams. In these roles, you will be producing and examining pricing data and make recommendations to optimise profitable growth, and help implement pricing structures. Therefore, solid knowledge of the personal lines market, pricing (whether risk or retail), and underwriting fundamentals, along with working knowledge of Excel, a data manipulation tool (e.g. SAS, Databricks, Snowflake) is a must. The Pricing candidates must have GI experience ideally in Personal Lines, be highly numerate and have an inquisitive nature with a flair for manipulating and interpreting data to help improve business performance. Some roles have a strong research and development focus, so we value self-motivated candidates with independent research experience and the proven ability to drive complex projects through the complete development cycle, from early conceptualization to implementation. Other roles have a strong trading focus, so experience of behavioural modelling, price optimisation and operating in a fast-paced environment alongside strong Radar capabilities will see candidates ideally placed for these roles. This is a great opportunity for Pricing candidates with a range of capabilities and experience, who are looking for variety in their pricing career, and with an established and reputable insurance provider., - More senior roles require a 2.1 or above in a Mathematical/Statistical/Science/Engineering degree
- Extensive knowledge of Excel and good knowledge of SAS/SQL would be advantageous
- Experience with Radar/Emblem and R/Python are all desirable.
- Experience of machine learning techniques e.g., GBMs, Elastic Net Regression or Random Forests in Python or R would be highly advantageous.
- A high level of problem solving is required, both logically and laterally, along with an ability to engage in research. The job holder should be able to identify, investigate and interpret the results of an analysis, considering past the more obvious first order effects
- High degree of numeracy with good statistical skills to analyse trends and understand modelling techniques
- Understanding of Pricing and Underwriting principles and key performance indicators
- Good working knowledge of the personal lines market and how to manage account performance through the underwriting cycle Good communication skills, both written and verbal, with the ability to explain technical data to non-technical audience.