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?

As our Development Analyst, you'll work in our Risk Aggregation R&D team. You'll work to implement key technology that we use to support our commercial operations, managing and developing risk aggregation tools to deliver best-in-class process analytics to the business.

Responsibilites

• Working with the Development Manager to create/streamline tools and processes, while maintaining/reviewing existing developments.
• Work closely with the Catastrophe Modelling and Exposure Management leads within Risk Aggregation across both Natural and Non Natural Catastrophe Risk to help drive the direction of investment in data augmentation, infrastructure, automation and bespoke tooling.  
• Assist in Steering and Developing Ki’s knowledge of catastrophe risk through the implementation of technology to support our commercial operations.
• Help in the Implementation of  Ki View of Risk through the Risk Agg tools and systems.
• Assist in automation work for internal and external reporting.
• Support data infrastructure, model change infrastructure, UAT environments, model testing, model upgrades.
• Interact with and maintain good relationships with all relevant internal (e.g. Technology & Data) and external stakeholders (e.g. model vendor).
• Work with the Product Delivery organisation to support the digitisation of RA processes as well as their embedding into our algorithmic underwriting/quoting processes.
• Assist transfer of Risk Agg data across the business.
• Assist in writing and maintaining technical documentation. (e.g. Development briefs, user requirements, technical solutions options, handover to IT resources, etc)