About the Company
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.
Responsibilities
•Lead and contribute to cross-divisional data analytics initiatives that improve the credibility and reliability of pricing metrics and actuarial outputs
•Support PLR and RARC deep-dive analysis and PMDR reviews, including investigation of data issues and bugs — scoping the problem, assessing severity and business impact, and proposing solutions
•Partner closely with the Commercial Data squad to identify key data gaps and areas for improvement, providing the actuarial business context needed to prioritise and shape their roadmap
•Develop and maintain a strong understanding of how Ki's data sets interrelate across Pricing, Reserving, and Portfolio Management, and act as a knowledge resource for the broader organisation
•Produce clear, accurate and insightful analysis that supports business understanding and commercial decision-making
•Translate complex data findings into clear, actionable insights for both technical and non-technical stakeholders
•Support the continuous improvement of data governance, analytical processes and reporting across the actuarial function
•Build effective working relationships across the business to facilitate collaboration, knowledge sharing and delivery of strategic objectives
Requirements
•Proven experience as a data analyst, ideally within insurance, financial services, or a similarly data-intensive environment
•Familiarity with actuarial concepts and insurance data — exposure to pricing, reserving, or portfolio management workflows is highly desirable
•Strong SQL skills and comfort working with large, complex datasets
•Ability to investigate ambiguous data problems independently, form hypotheses, and communicate findings clearly
•Strong written and verbal communication skills; ability to effectively communicate complex technical concepts to different audiences across different levels of stakeholders
•Unwavering curiosity and enthusiasm - to challenge how things are done and bring fresh ideas to the table
•The ability to build effective working relationships within the team and across the wider business
•A self-starting drive to succeed, ensuring delivery of your work to achieve goals and meet deadlines
Nice to have
•Python or R
Conditions
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.
