Manager - Exposure Management

Job Description

We are looking for an Senior Analyst – Exposure Management (Non-Natural Catastrophe)

About Ki

Ki is a fast-growing and evolving Insurance/Technology business, sponsored by one of the leading Lloyd’s Managing Agencies, Brit, and leading global investment firm Blackstone. Ki is a standalone business, trading digitally through its platform with brokers in Lloyd’s across 30-plus classes of business. Ki was founded with its best-in-class partners – Brit, Fairfax, Blackstone, Google, UCL and Lloyd’s.
Ki brings a collective of insurance and tech experts together to build a new approach to risk. Ki Syndicate 1618 began underwriting in 2021 and recorded over $400m of GWP in its first year, growing to over $800m in its second, making Ki one of the largest start-ups in Lloyd’s history. Our guiding philosophy is to transform a traditional industry using technology and data.
The next stage of this journey, announced in October 2023, sees Ki become the first algorithmic underwriter in the market to offer capacity from multiple syndicates with the addition of Travelers and Aspen offering additional capacity from 1 January 2024 across Ki’s open market Property, Casualty and Specialty classes.
The multi-year partnerships with Travelers and Aspen, alongside Ki’s own growth plans for Syndicate 1618, will see Ki materially increase the follow capacity it is able to offer from 1 January 2024, subject to Lloyd’s approval.

What you will be doing

Ki represents a unique opportunity to work within a data and technology rich environment to directly influence the algorithmic underwriting of risks at point of quote in addition to the more traditional post-bind monitoring and reporting of risk aggregations.

From an Exposure Management perspective, the team is responsible for ensuring that Ki identify, measure, manage and report catastrophe risks and material exposures across all classes.

You’ll be part of a team that will be considering both natural and non-natural catastrophe risks with a particular focus on the reporting and communication of these exposures to internal and external stakeholders.

The team plays a critical role in the delivery of Ki’s algorithmic underwriting capabilities through the development and maintenance of data and tools applied in the quotation process to support the optimal selection of risks and allocation of capacity reflecting existing exposures and overall risk-taking capacity.

About you
This is a great opportunity for someone that has a strong general knowledge of programming and statistical data science skills.
As you’ll be expected to provide analytics, management information and reporting to relevant stakeholders (e.g. Underwriting, Outwards Reinsurance, management and investors) with a high degree of accuracy and timeliness.
Also, you will have experience in applying a rich universe of external data and emerging risk modelling practices to the understanding, modelling and optimisation of risk exposures.
This opportunity will require someone with interpersonal skills that can Interact with and maintain good relationships with all internal (e.g., Technology & Data) and external stakeholders (e.g. model vendors, regulators, brokers).
You’ll thrive in a collaborative environment work cross-functionally with other team members to support product development and advance Ki’s view of risk across various classes of business and product offerings.

This role is deadline oriented as you will provide relevant subject matter expert input into wider Risk & Actuarial projects and deliverables.
Our culture
Inclusion & Diversity is at the heart of our business at Ki. We recognise that diversity in age, race, gender, ethnicity, sexual orientation, physical ability, thought, and social background bring richness to our working environment. No matter who you are, where you’re from, how you think, or who you love, we believe you should be you.
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.
If this sounds like a role and a culture that appeals to you, let us know – apply here.