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Systems & Modelling Actuaries
Job summary
A consulting firm in the United Kingdom is seeking candidates for actuarial modelling roles. The ideal candidate will have hands-on expertise with actuarial systems, enjoy technical problem-solving, and have coding skills in Python, R, or SQL. Candidates will lead projects and collaborate in improving processes. Reach out for more details regarding this opportunity.
Qualifications
- Hands-on expertise with actuarial or analytical/data systems.
- Interest in automation and process improvement.
- Collaborative, forward-looking mindset.
Responsibilities
- Work on complex actuarial modelling projects.
- Develop and enhance actuarial models and systems.
- Lead a small team of developers to deliver projects.
Skills
Tools
We are partnering with a number of insurers/reinsurers on a range of actuarial modelling opportunities.
Whether you're a qualified actuary or an experienced modeller there are exciting roles available for individuals who enjoy technical work, problem-solving, and driving innovation.
You'll have the opportunity to work on complex and rewarding projects, develop and enhance actuarial models and systems, improve processes and shape best practice, and lead a small team of developers to deliver end-to-end projects.
Ideal candidates will bring hands‑on expertise with actuarial or analytical/data systems, an interest in automation/process improvement and a collaborative, forward‑looking mindset.
Experience in platforms such as RAFM, MoSes or Tyche, and coding in Python, R, SQL or other tools are welcomed.
Please get in touch for more details: jo.frankham@eamesconsuting.com / 07460 141467
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.