Job Description

Actuarial Analyst Purpose of the Role

A high performing and forward looking actuarial department is looking for an analyst with an actuarial background to bolster the team. Strong actuarial presence is at the core of the organisation, across all departments including the Executive team.

We are looking for an individual making good progress with actuarial exams to join the team where they will get exposure to all the traditional actuarial roles (capital modelling, pricing, reserving, business planning etc).

The ideal candidate will be comfortable interacting with other teams within the business and have a Mathematical/Statistical/Science background. There will be opportunities to get involved with forward looking projects using machine learning and data science (depending on experience).

Duties And Accountabilities

The ideal candidate will get to work alongside senior members of the team across the following activities:

Business Planning & Capital Modelling a bespoke internal model written in VB.NET is in use for Solvency II purposes. The model is used for capital setting, reinsurance purchasing, business planning, risk appetite setting and monitoring on a monthly basis.

Setting parameters for and running model on a monthly basis to monitor risk against pre-defined appetite and tolerances.

Solvency II: analysis and reporting.

Reserving: full quarterly analyses using ICRFS including confidence intervals and monthly actual versus expected exercises.

Pricing support: ad hoc pricing using frequency severity analysis in R

Market analysis.

Processing of data from external economic scenario generator and analysis of monthly investment performance.

Opportunity to support the maintenance of pricing models on our new platform (hx Renew), which relies on understanding and day to day use of Python.

Undertake specific project work and other related tasks to support the work of the Actuarial team as required.

Skills, Knowledge And Experience

The successful candidate will have:

Made progress with actuarial exams / part qualified

Demonstrable actuarial experience preferably in a Lloyd's environment

Relevant statistical/data manipulation/data analysis skills

Relevant academic background (preferably in Maths/Statistics/Science)

Highly proficient in required IT packages (Pyramid, Power BI an advantage)

Good organisation and planning

Good written and face to face communication skills Programming skills desirable but not mandatory (Python and R an advantage)