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A leading recruitment agency is seeking two actuarial analysts for a pricing team in London. These roles are suitable for candidates with at least 2 years in general insurance. Responsibilities include collaborating with stakeholders on pricing activities and engaging in predictive analytics projects. Strong IT literacy in Excel, Python/R, SQL, and VBA is necessary. This opportunity allows for a pivotal transition into pricing from other actuarial areas. Hybrid working is available with 3 days in the office.
Our client, a Lloyd's/London Market Insurer, is looking to hire two individuals into their established pricing team. These roles are London based (3 days in the office) and require candidates to have a right to work in the UK.
In these roles you will be collaborating with the rest of the pricing department and dealing with a variety of stakeholders including underwriters. You will be supporting the enhancement and embedding of rating models and tools, case pricing activity, analysis in support of the business planning cycle, and engaging in predictive analytics projects alongside other responsibilities.
These roles would suit actuarial analysts who have been in the industry for 2 years' minimum. The hiring manager is open to all backgrounds providing it is within general insurance actuarial, making it an excellent opportunity to pivot into pricing from either reserving or capital.
They require strong IT literacy which includes Excel, Python/R, SQL and VBA. Experience of predictive analytics is desirable and European languages in advantageous.
These roles are exclusive to Eames.
For more information please do reach out via email at hannah.turner@eamesconsulting.com
Eames Consulting is acting as an Employment Agency in relation to this vacancy.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.