About the job
About Us
At Ki Insurance, we are at the forefront of innovation in the insurance industry. With a diverse range of clients from space shuttles to world tours, we ensure coverage for extraordinary ventures. Our mission is to digitally disrupt a 335-year-old market by leveraging advanced technologies.
Partnering with Google and UCL, we have developed a cutting-edge platform that utilizes algorithms, machine learning, and large language models to provide insurance brokers with quotes in a matter of seconds, rather than days.
As the largest global algorithmic insurance carrier and the fastest-growing syndicate in the Lloyd's of London market, Ki has made history by achieving $100 million in profit within just three years. Our teams, comprised of individuals from various backgrounds, collaborate in an agile and cross-functional environment to enhance customer experience and challenge the status quo.
Your Role
In this pivotal role, you will support our middle and back-office operations, crucial for our continued success. As part of a multi-disciplinary team, you will collaborate with software and data engineers, full-stack developers, platform operations experts, algorithm researchers, and data scientists to deliver impactful solutions. Your primary focus will be on designing and developing sophisticated data processing modules and reporting using BigQuery and Tableau.
Key Responsibilities:
- Collaborate with business teams in finance and actuarial science, along with data scientists and engineers, to design, build, optimize, and maintain production-grade data pipelines and reporting from our internal Data Warehouse solution based on GCP/BigQuery.
- Engage with various stakeholders to identify opportunities for leveraging new internal and external data sources.
- Partner with EY and IBM to ensure the robustness of data model design and engineering, supporting our ambitious growth and scalability plans.
- Oversee business-as-usual (BAU) management of data models, reporting, and integration pipelines.
- Establish frameworks, infrastructure, and systems for effective management and governance of Ki’s data assets.
- Create detailed documentation to facilitate ongoing BAU support and maintenance of data structures, schemas, and reporting.
- Collaborate with the broader engineering community to enhance our data and MLOps capabilities.
- Ensure compliance with internal and external data quality and governance standards.
- Monitor and resolve data pipeline issues to maintain reliability and accuracy.
