Senior Portfolio 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? You will join us as Senior Portfolio Analyst, working closely with the Portfolio Manager and Portfolio Analysts to build out the Portfolio Management Strategy and you will manage a team of analysts to proactively drive improved underwriting performance via the use of analytics. What you will be doing: 🖋️ You will assist in the build of a portfolio management function which implements data-led decisions to optimise its portfolio and lead one of the pillars of the portfolio management team. Day to day the Senior Portfolio Analyst will align closely with our portfolio monitoring pillar with particular focus on technical performance analytics and opportunity identification. You will deliver actionable intelligence throughout the Portfolio Underwriting division. Degree in a numerate subject Sound commercial general insurance Lloyd’s/company market experience Sound analytic skills and data manipulation: part-qualified actuary OR significant experience in technical underwriting SQL and/or Python coding experience preferred, minimum strong excel skills

Any of the following desirable:

Experience working in agile environments Understanding of data science approaches Aggregate monitoring experience/knowledge 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 hiring manager 3) Technical Interview (this may vary depending on the role) 4) Values Interview