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About the Role
Join our commercial performance insights squad to monitor the commercial performance of our algorithmically underwritten insurance business in real time. You will upgrade the foundation that captures algorithm decision data, moving from database logging to a versioned event stream. This role offers the chance to dive deep into insurance domain modelling problems alongside data engineering and shape our engineering culture.
Responsibilities
- Design, build, optimize, and maintain production-grade data pipelines to feed the Ki algorithm, collaborating with actuaries, data scientists, and engineers.
- Understand how to best utilize new internal and external data sources in conjunction with actuaries, data scientists, and engineers.
- Design and engineer data models and supporting infrastructure to support growth and scale, working with data architects.
- Create frameworks, infrastructure, and systems to manage and govern Ki’s data asset.
- Develop data and MLOps capability infrastructure with the broader Engineering community.
Requirements
- Strong experience in software engineering with proficiency in a language such as Python for API development, data engineering, and automation tasks.
- Background in working with storage solutions such as PostgreSQL, MySQL, and BigQuery.
- Experience in API development using tools such as FastAPI or Flask, enabling data access and integration across systems.
- Solid knowledge of cloud platforms (GCP and/or AWS), with the ability to design and deploy data solutions at scale.
- Experience with IAC and CI/CD pipelines to ensure reliable, repeatable, and automated deployments.
- Understanding of data modelling, ETL/ELT processes, and best practices for data quality and governance.
- Collaborative mindset, with the ability to work closely with stakeholders such as Exposure Management, Portfolio Management, and Data Science.
- Curiosity, adaptability, and enthusiasm for working in an agile, squad-based environment.
Skills
- Python
- API development
- Data engineering
- Automation
- PostgreSQL
- MySQL
- BigQuery
- FastAPI
- Flask
- GCP
- AWS
- IAC
- CI/CD pipelines
- Data modelling
- ETL/ELT processes
- Data quality
- Data governance
- System design
Location
- London
Work Type
- Agile
- Cross-functional squad
Experience Level
- Senior
Benefits
- Highly competitive remuneration and benefits package
- Package is kept under constant review to ensure relevance
- Acknowledgement and reward for extraordinary effort
About the Company
- Ki is digitally disrupting and revolutionizing a 335-year-old market using algorithms, machine learning, and large language models.
- Ki is the biggest global algorithmic insurance carrier and the fastest-growing syndicate in the Lloyd's of London market.
- Ki achieved $100m in profit within its first 3 years.
- Ki’s teams have varied backgrounds and work together in an agile, cross-functional way to build the best customer experience.
- Ki has big ambitions and seeks excellent minds to challenge the status-quo.