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A leading insurance carrier in the UK is seeking a professional for their risk aggregation team. This role involves providing underwriters with accurate non-modelled exposure data and intricate risk assessments. You will help manage exposure to non-natural catastrophe perils like Cyber, collaborate cross-functionally to advance risk assessment, and monitor emerging threats. Ideal candidates are degree-educated with significant insurance experience and advanced IT skills. A competitive remuneration and benefits package is offered.
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.
Working in the risk aggregation team, you'll work to provide underwriters with a fast, consistent and accurate service in line with their agreed risk aggregation strategy. For all non natural classes, you'll provide complete and accurate non-modelled exposure data and modelled loss information to ensure the business has the best understanding of its risk profile.
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.
1) Initial recruiter screening call
2) Interview with hiring manager
3) Technical Interview (this may vary depending on the role)
4) Values Interview