Job Description

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?


Our broker platform is the core technology crucial to Ki's success - allowing us to evolve underwriting intelligently and unlock massive scale. We're a multi-disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high-impact features - we favour a highly iterative, analytical approach.


You will be designing and developing complex data processing modules ranging from ETL to ML working closely with the Ki Algorithm team, who are developing the machine learning models that set key apart from the traditional syndicates. In addition, you will also work closely to the Ki Platform Team, responsible for architecting, and operating the core of the Ki platform.


What you will be doing?

Work with actuaries, data scientists and engineers to design, build, optimise and maintain production grade data pipelines to feed the Ki algorithm Work with actuaries, data scientists and engineers to understand how we can make best use of new internal and external data sources Design and engineer a data model which can support our ambitions for growth and scale Create frameworks, infrastructure and systems to manage and govern Ki's data asset Work with the broader Engineering community to develop our data and MLOps capability infrastructure Serve as a domain expert for one or more of Ki's core technologies Mentor and coach colleagues in both engineering and business domain subjects Uphold and advance the engineering team's principles and ways of working

Requirements

Experience designing data models and developing industrialised data pipelines Strong knowledge of database and data lake systems Comfortable writing Python and SQL (any flavour) Comfortable with shell scripting with Bash or similar Experience provisioning new infrastructure in a leading cloud provider, preferably GCP Experience creating DataOps pipelines

Desirable Skills

Experience of streaming data systems and frameworks would be a plus Experience working in regulated industry, especially financial services would be a plus Experience creating MLOps pipelines is a plus

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

Ki Values:

Know Your Customer: Put yourself in their shoes. Understand and balance the different needs of our customers, acting with integrity and empathy to create something excellent Grow Together: Empower each other to succeed. Recognise the work of our teams, while celebrating individual success. Embrace diverse perspectives so we can develop and grow together. Be Courageous: Think big, push boundaries. Don't be afraid to fail because that's how we learn. Test, adapt, improve - always strive to be better.

Our culture:

At Ki, we are committed to creating an inclusive environment where every colleague is valued and respected for who they are and can do the best work of their careers.


Inclusion is a critical foundation of our business and people strategies and supports our vision of becoming a market-leading, digital and data-led specialty insurance business. An inclusive workplace fuels innovation because creativity thrives when everyone feels valued, respected, and supported to drive it. So, no matter who you are, where you're from, how you think, or who you love, we believe you should be you.

Benefits

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.


If this sounds like a role and a culture that appeals to you, apply now!