Exposure Management 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?

In this role, you will play a key part in delivering a timely, consistent, and accurate service across our business, ensuring all operations align closely with our risk aggregation strategy.

You'll gain hands-on experience ensuring that complete and accurate exposure data—both aggregated and modeled—is prepared and delivered to internal and external stakeholders. Your work will directly support our regulatory compliance and help the business monitor its exposure limits. Over time, you will help us analyse and understand our risk profile to ensure we deploy our capital efficiently, while actively contributing to the development of next-generation tools, processes, and analytical reports for the team.

What you will be doing: ️

• To assist with completion of all exposure management related regulatory requirements /reporting for Ki, internal and external.
• To work with the risk aggregation team members, principally within the exposure management sub-team, and other relevant functions (Capital Modelling, Actuarial, ERM, Underwriting and Portfolio Management) to continuously develop the business’ understanding of its risk profile.
• Support Ki’s group / entity level aggregation and portfolio roll-up processes for non-natural catastrophe risk using a range of tools and techniques.
• To assist with and develop syndicate roll-up, analytics, management information and reporting to relevant stakeholders (e.g. Underwriting, ORI placement teams) with a high degree of accuracy and timeliness.
• To assist with analytical support into wider risk aggregation projects and deliverables (e.g. support parameterisation and validation of man-made catastrophe components feeding into Ki’s view of risk).
• To assist with the development of process streamlining, including the automation of manual, repeatable tasks.
• To build and maintain internal relationships with key contacts within the business (e.g. Underwriting, Algorithm) and support external relationships (e.g. regulators).
• To assist other members of the Risk Aggregation team where necessary.
• Contribute to a trusting, inclusive and high performing culture by taking ownership of your work, learning from mistakes, and seeking and acting on regular, constructive feedback.
• Support colleagues’ wellbeing and development, work collaboratively and fairly, maintain strong oversight of your responsibilities and processes, and role model Ki’s values — Know Your Customer, Grow Together, and Be Courageous — in all interactions

Requirements

• Educated to degree level or equivalent in a relevant numerical degree, and a willingness to undertake continuous personal and professional development.
• An interest in cyber, terror or political violence risk
• Experience in manipulating and analysing large and complex data sets.
• Strong IT skills especially MS Excel, SQL and VBA also desirable. Coding experience in R or Python would be highly desirable.
• Awareness of Insurance sector, knowledge of cat models and exposure management desirable.
• Motivation to learn new processes and to take increased ownership of these processes.
• Able to work effectively as part of a team and on own initiative with high levels of self-motivation.
• Strong analytical, numeric, and written skills.
• Attention to detail.
• Strong written and verbal communication skills.
• Experience of producing reports and management information desirable.

Benefits

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