Senior Algorithm Engineer

Ki; Greater London; On-site; GBP 110,000 - 170,000; Full time

Job summary

Ki is shaping the future of insurance with a platform that uses algorithms, ML and LLMs to quote brokers in seconds. As a Senior Algorithm Engineer, you will join the Algorithmic Underwriting team, working at the intersection of underwriting and algorithm development to scale ML-powered products across 25+ classes of business.

You will help evaluate each risk, build a profitable portfolio, and develop industrialised ML applications while collaborating with data scientists, engineers and product

Qualifications

• Commercially aware with knowledge of the insurance market.
• Understanding the control and management of data products and machine learning algorithms.
• Skilled using Python.
• Experience using project management and workflow tools such as Jira.
• Experience with CI/CD tools such as GitHub Actions, CircleCI and 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.

Responsibilities

• Design, develop and maintain algorithm related systems to carry out underwriting and portfolio management activities at scale.
• Improve robustness of the Ki algorithm by digitising governance and control of underwriting, actuarial and software processes.
• Design and implement enabling services that make the Ki algorithm more efficient, flexible and scalable.
• Liaise with business stakeholders and product owner to build best algorithm product for customers.
• Act as a knowledge hub with deep understanding of 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.

Skills

Python

Machine Learning

Data products

Underwriting domain knowledge

Portfolio management understanding

Tools

GitHub Actions

CircleCI

Jenkins

Jira

Job description

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'relooking for a Senior Algorithm Engineer to join ourAlgorithmic Underwritingteam. You will work at the intersection of underwriting and algorithm development, developing machine learning-enabled products thatoperateacross 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!). Weoperateat the point where the twovery differentworlds of technology and specialty insurance meet, and you will be part of both.

We'rea multi-disciplined team and pride ourselves on being commercially focused, bringing together deepexpertisein 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 (whodoesn't?) well tested and maintainable code. Our algorithm is built inPythonand our infrastructure is entirely cloud native and wemaintainour infrastructure as code.

What you will be doing:

• Design, develop andmaintainalgorithm related systemsto 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,flexibleand scalable
• Liaise with business stakeholder and product owner tobuild best algorithm product for customers
• Act as a knowledge hub with deep understanding ofrelevantKi's business and tech stack
• Managing and developing junior members of the team
• Drive improvements in the way weoperateas a digital underwriting capability

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.

Requirements

• 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