Actuary - Data Tranformation

My client is looking for a Qualified (or nearly qualified) Actuary to join their Actuarial team.

 

This is a fantastic opportunity to play a key role in modernising actuarial processes, moving from traditional spreadsheet-based approaches to scalable, automated solutions using tools such as Python and R.

 

You’ll work across a variety of actuarial disciplines, contributing to both business-as-usual cycles and innovative, project-based work, while collaborating with senior stakeholders across the organisation.

 

 

The Role -

• Support the development of Argenta’s actuarial analytics strategy
• Lead and contribute to analytical projects, turning complex data into clear business insights
• Collaborate with Pricing, Reserving, Capital, Risk, and Exposure Management teams
• Drive improvements in actuarial data, systems, and workflows
• Support the development and optimisation of the central reserving database
• Identify and implement process improvements and automation opportunities
• Mentor and support junior actuarial analysts
• Ensure strong governance, documentation, and validation of models and tools
• Stay up to date with emerging technologies and industry trends
• Build strong relationships across actuarial teams and the wider business

 

The Candidate -

• Newly qualified actuary or close to qualification
• Strong academic background
• Experience in General Insurance and/or the London Market
• Advanced Excel and strong report writing skills
• Experience with Python (or similar programming language)
• Knowledge of Power BI or Qlik (desirable)
• Familiarity with ResQ, Hx, or Igloo (desirable)
• Strong analytical thinking and problem-solving skills
• Proactive, self-motivated, and able to manage competing priorities
• Excellent communication skills, with the ability to engage both technical and non-technical stakeholders

 

If you want more information please get in contact via email - holly.ellenthorpe@eamesconsulting.com