Senior Property Analyst

Who are we?👋

Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers’ legs.

Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days.

Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest growing syndicate in the Lloyd's of London market, and the first ever to make $100m in profit in 3 years.

Ki’s teams have varied backgrounds and work together in an agile, cross-functional way to build the very best experience for its customers. Ki has big ambitions but needs more excellent minds to challenge the status-quo and help it reach new horizons.

Where you come in?

We are looking for a Senior Property Analyst to join us at Ki. In this role you will ensure that the team provides underwriters with a fast, consistent and accurate service in line with risk aggregation strategy agreed with the Senior Manager (Catastrophe Modelling) and Head of Risk Aggregation.

Bringing your experience of providing complete and accurate exposure data and modelled loss information, in line with Risk Aggregation strategy, you will make sure it is available to provide internal and external stakeholders with appropriate reporting within agreed timeframes to enable compliance with internal and regulatory requirements.

You will be comfortable in ensuring business understanding of its risk profile in order to achieve an efficient deployment of aggregate and will continuously strive to develop, streamline and implement best practice processes, tools and analytical reporting for the risk aggregation function, whilst aligning processes across classes of business and different uses of modelling (e.g. ORI and Pricing). In addition, you will manage the daily workload, relationship and output of the outsourced business partner in respect of relevant modelling and data entry.

What you will be doing: 🖋️

• You will work with the Risk Aggregation team members and other relevant functions (capital modelling, actuarial and ERM) to ensure that modelling processes and assumptions are closely aligned, operate as intended and meet all regulatory requirements.
• You will provide the relevant pricing, rollup, analytics, management information and reporting to the relevant stakeholders (e.g. underwriting and ORI placement teams) with a high degree of accuracy and timeliness.
• You will manage the quality of exposure data and the production of data from Ki’s processing teams.
• You will provide the relevant subject matter expert input into wider risk aggregation projects and deliverables (e.g. Ki view of risk and ORI).
• You will interact with and maintain good relationships with all internal and external stakeholders (e.g. model vendor and brokers).
• You will assist the other members of the Risk Aggregation team where necessary.
• You will cross-functionally with other team members to support product development and advance Ki’s view of risk across various classes of business and product offerings, as well as supporting the delivery of new revenue opportunities.

Requirements

• A good understanding of actuarial concepts.

• Property Class experience.
• Catastrophe Modelling experience using RMS/AIR/EQE or relevant actuarial experience. 
• Advanced IT skills, especially MS Excel, VBA and SQL. Other programming languages is desirable. 
• A strong understanding of the (re)insurance industry and catastrophe modelling concepts. 
• High level of numeracy skills. 
• Project management skills. 
• The ability to manage third parties effectively to achieve results. 
• The ability to independently prioritise tasks and meet tight deadlines.

Benefits

You'll get a highly competitive remuneration and benefits package. This is kept under constant review to make sure it stays relevant. We understand the power of saying thank you and take time to acknowledge and reward extraordinary effort by teams or individuals.

What to expect during the recruitment process:

1. Initial recruiter screening call
2. Interview with the hiring manager
3. Technical Interview (this may vary depending on the role)
4. Values Interview