Who are we?
Ki is the biggest global insurance tech company you’ve never heard of, unless you’ve been looking to insure a satellite, wind farm or music festival recently.
We launched in 2021 on the back of a fund raise that delivered $500m of investment, making us one the largest fintech start-ups that year. Our investors were excited about the fact we were revolutionising the way a 333 year-old industry was working. We have written over $400m worth of premium in 2021. Together with partners at Google and UCL we developed Ki and created a platform that helps insurance brokers cover risks in a fast and frictionless way. We’re continuing to lead the charge on the digitisation of this market and that’s where you come in - we need more excellent minds to work with us to realise this goal and create more opportunities. If helping us transform a multi-billion global industry sounds exciting to you, read on.
What you will be working on
You’ll work on Ki’s suite of risk assessment machine learning models by building models, carrying out analysis of machine learning model quality to identify potential improvements in our models and you’ll own the delivery of individual machine learning models to help Ki better assess and manage risk.
Fully utilizing your experience with common machine learning frameworks (e.g. scikit-learn, TensorFlow, etc.) as well as any experience you have working in cloud environments, you’ll work closely with the Ki Portfolio Underwriting team to appropriately formulate commercial challenges as machine learning problems. Joining our Data Science community within Ki you’ll further develop your skills and guide junior members helping them improve their engineering skill level and understanding of the insurance market.
You’ll join a team on an exciting journey –we’re solving industry problems that have never been solved before.
Our culture
Inclusion & Diversity is at the heart of our business at Ki. We recognise that diversity in age, race, gender, ethnicity, sexual orientation, physical ability, thought and social background bring richness to our working environment. No matter who you are, where you’re from, how you think, or who you love, we believe you should be you.
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.