Actuarial Data Analyst

IQUW is going through an exciting transformation developing new aspects of the business from the ground up. We would like a data analyst to join our Actuarial team working alongside a diverse group of senior and junior actuaries that can help us to achieve our vision for the future. IQUW writes a range of speciality lines of business including but not limited to Cyber, Energy, Space, Marine, Political risk and Terrorism insurance.

The Actuarial team provides support to the business through evaluation, management and advice in relation to financial risks. Our opinion and insight are highly sought and valued. We want to build a market leading team where each member challenges the status quo and wants to push the boundaries. Whilst we are responsible for the maintenance and running of the Capital and Reserving models for both of our Lloyds Syndicates, ERS and IQUW, we are also encouraged to collaborate with our colleagues across all teams to drive innovation.

As a data analyst you will be fundamental to the building of all tools and models, where you’ll have the opportunity to bring your own unique perspective to the team. We primarily use industry modelling platforms but are very keen to collaborate with our Head of Innovation to deploy automation tools, AI and visualisation tools, your enthusiasm will be key to ensuring these initiatives are a success.

Responsibilities

• Support the capital and reserving actuarial analysis
• In collaboration with our Head of Innovation, help us build, develop and document streamlined & efficient processes using various technologies. This will help us ensure that actuarial processes are seamlessly embedded within the wider portfolio management framework
• Develop new or redevelop existing solutions that will enhance the team’s analytics capabilities
• Conducting in-depth data analyses to seek trends and other insights.

Requirements

Essential

• A 2:1 Honours degree with a significant statistical/quantitative element (for example Computer Science, Mathematical, Physics, Biology)
• Scripting skills (e.g. VBA) and knowledge of MS Excel
• An interest or understanding of the insurance market
• Understanding of good design principles and good coding practices
• Openness to learning new technologies and programming languages
• Excellent ability to communicate technical methodologies to a non-technical audience

Desirable

• Experience using SQL, including complex queries from multiple data sources
• Experience using statistical software such as Python or R to manage and/or analyse data
• Proficiency in statistics such as distributions, predictive modelling, data validation, statistical testing, and regression would be an advantage