Ki Insurance uses algorithmic underwriting to provide specialist insurance quotes to brokers.
Senior Algorithm Engineer
Ki Insurance is recruiting a Senior Algorithm Engineer for its Algorithmic Underwriting team in London. The role involves designing algorithmic systems and machine learning applications in Python within a cloud-native infrastructure for risk assessment and insurance portfolio management.
Information about Ki Insurance
- Official domain
- ki-insurance.com
- Open jobs
- 17
Job details
The full description published by Ki Insurance.
Description de l’offre
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? We're looking for a Senior Algorithm Engineer to join our Algorithmic Underwriting team.
You will work at the intersection of underwriting and algorithm development, developing machine learning-enabled products that operate across over 25 classes of business ranging from Commercial Properties to Oil Rigs to Event Contingency insurance. You will help us better evaluate every single risk on its own merits, and on how it helps us build a profitable and stable portfolio, all in the space of under a minute.
From large scale geospatial analysis to manage our exposure to natural catastrophes to research and development on low data volume machine learning approaches for classes of business with very few claims (like Terrorism insurance!). We operate at the point where the two very different worlds of technology and specialty insurance meet, and you will be part of both. We're a multi-disciplined team and pride ourselves on being commercially focused, bringing together deep expertise in specialty insurance and scalable machine learning product development.
Our squads focus on delivering high-impact features and we favour a highly iterative, analytical approach. We invest time in research and development, internally and with academic institutions. We focus on the commercial outcomes that our algorithm achieves, and we like (who doesn’t?) well tested and maintainable code. Our algorithm is built in Python and our infrastructure is entirely cloud native and we maintain our infrastructure as code.
What you will be doing
🖋️
- Design, develop and maintain algorithm related systems to carry out underwriting and portfolio management activities at scale
- 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
- Design and implement enabling services that makes the Ki algorithm more efficient, flexible and scalable
- Liaise with business stakeholder and product owner to build best algorithm product for customers
- Act as a knowledge hub with deep understanding of relevant Ki’s business and tech stack
- Managing and developing junior members of the team
- Drive improvements in the way we operate as a digital underwriting capability
- Commercially aware, with a knowledge of the insurance market
- Understanding of the control and management of data products and machine learning algorithms
- Skilled using Python
- Experience using project management and workflow tools (e.g. Jira)
- Experience with CI/CD tools such as GitHub Actions, Circle CI, Jenkins
- Understanding of market compliance and core regulatory requirements
- Understanding of core insurance portfolio management principles and dynamics
- Experience developing industrialised machine learning applications and services
Requirements
- Knowledge of the insurance market
- Understanding of regulatory requirements
- Understanding of insurance portfolio management principles
- Experience developing production-ready machine learning applications and services
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