Design, develop and maintain new features for Ki’s underwriting algorithm for risk assessment and portfolio management
Improve the robustness of the Ki algorithm by digitising the governance and control of our underwriting, actuarial and software processes, reducing our time to live
Ensure the Ki algorithm is always online and available to generate line sizes
Design and implement enabling services that makes the Ki algorithm more efficient, flexible and scalable
Exercise software engineering best practice to ensure our algorithm product is built in line with Ki’s broader engineering standards
Support the integration of the Ki algorithm into the other core components of the broader platform
Guide junior members to help them improve their engineering skills and understanding of the insurance market

Understanding of Machine Learning approaches and algorithms
Understanding of the control and management of data products and machine learning algorithms
Experience with python programming and various software design patterns
Direct experience with at least one cloud provider required
Experience working in regulated industry, especially financial services and insurance would be a plus
Commercially minded, knowledge of the insurance market would be ideal or an aptitude/interest to learn more about the industry and how it operates
Experience using project management and workflow tools (e.g. Jira)
Experience with CI/CD tools such as GitHub Actions, Circle CI, Jenkins

Algorithm Engineer

Key skills