Senior Exposure Management Analyst

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Full details of the job.

Vacancy Name

Vacancy Name Senior Exposure Management Analyst

Employment Type

Employment Type

Permanent

Location

Location London

Role Details 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?

From an exposure management perspective, 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.

The team is responsible for ensuring that Ki identify, measure, manage and report catastrophe risks and material exposures across all classes 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.

In addition, 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.

At the heart of this technology and data focused business, the exposure management team works hand in hand with a range of functions spanning actuarial, data science and engineering skills applying a rich universe of external data and emerging risk modelling practices to the understanding, modelling and optimisation of risk exposures.

What you will be doing: ️

- Lead the preparation, validation, and submission of regulatory reports related to exposure management, ensuring accuracy, completeness, and compliance with regulatory requirements (e.g., RDL/LCM).
- Analyse large datasets to extract insights related to exposure, risk, and regulatory compliance. Identify trends, anomalies, and areas of concern in regulatory/internal reporting.
- Monitor changes in regulatory requirements and ensure reporting processes are updated to reflect new rules and standards. Collaborate with compliance and legal teams to interpret regulatory guidelines.
- Develop and implement process improvements to enhance the efficiency, accuracy, and timeliness of internal and regulatory reporting. Automate reporting workflows where possible using advanced tools and technologies.
- Assist in assessing exposure risks and their impact on regulatory capital requirements. Provide insights to senior management on regulatory reporting trends and potential risks.
- Work with the Catastrophe Modeling, Algorithmic Underwriting, Capital Modelling, Actuarial, Risk and other relevant functions to continuously develop the business’ understanding of its risk profile.
- 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.
- Contribute to the development of the company’s view of risk and its implementation in the tools, systems and analytics delivered by the team including the evaluation and adoption of emerging external models.
- Provide relevant subject matter expert input into wider Risk & Actuarial projects and deliverables.
- Interact with and maintain good relationships with all internal (e.g.,…