Temporary Actuarial Analyst

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?

The Temporary Actuarial Analyst role is a fantastic opportunity for an enthusiastic individual looking to kickstart their career in the insurance sector. You'll work closely with senior actuaries and analysts to support pricing models, data analysis, and reporting processes. Your work will provide essential insights that contribute to the pricing strategies and risk assessment that keep Ki at the forefront of the industry.

What you will be doing: 🖋️

• Assisting in the development and maintenance of pricing models, ensuring accuracy and relevance.
• Conducting data analysis to identify trends, valuations, and risk factors that inform underwriting processes.
• Supporting the team in preparing reports and presentations for stakeholders, summarizing key findings and insights.
• Collaborating with various teams to ensure data integrity and clear communication of actuarial assumptions.
• Engaging in ad-hoc projects and analyses as required, contributing to the continuous improvement of actuarial practices within Ki.

• A relevant degree in Mathematics, Statistics, Actuarial Science, or a related field.
• Strong analytical skills with a good foundation in quantitative analysis.
• An understanding of actuarial principles and practices is preferred but not mandatory.
• Proficient in MS Excel; experience with SQL or other programming languages is a plus.
• Excellent communication skills, both verbal and written, with the ability to convey complex information clearly.
• A motivated self-starter with a keen interest in the insurance industry.
• Ability to work collaboratively in a team environment and contribute to collective goals.

You’ll get a highly competitive remuneration and benefits package. This is kept under constant review to make sure it stays relevant. We understand the power of saying thank you and take time to acknowledge and reward extraordinary effort by teams or individuals.

What to expect during the recruitment process:

1) Initial recruiter screening call

2) Interview with hiring manager

3) Technical Interview (this may vary depending on the role)

4) Values Interview