Catastrophe Risk Analyst

Canopius; City Of London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading Lloyd's syndicate in London is seeking a Catastrophe Risk Analyst to join their Exposure Management team. The role involves collaborating with underwriting teams to deliver cutting-edge analytics and influence risk selection. Candidates with experience in catastrophe modelling, strong quantitative skills, and proficiency in tools such as RMS and Power BI are encouraged to apply. The position offers a hybrid working model and a comprehensive benefits package.

Benefits

Hybrid working

Competitive salary

Health insurance

Pension plan

Discretionary bonus

Qualifications

• Experience in a Cat Modelling role with RMS experience preferred.
• Ability to manipulate large data sets effectively.
• Highly numerate with strong analytical skills.

Responsibilities

• Develop relationships with underwriters to integrate goals.
• Deliver analytics for risk selection.
• Create narratives based on modelling data.

Skills

Experience in a Cat Modelling role

Strong mathematical/statistical knowledge

Excellent business communication skills

Strong Excel skills

SQL skills

Experience using Microsoft Power BI

Knowledge of programming languages (VBA, R, Python)

Tools

RMS

Microsoft Power BI

MS SQL

Job description

Overview

An exciting opportunity for a Catastrophe Risk Analyst to join a leading Exposure Management team at one of Lloyd’s largest syndicates. The successful candidate will be delivering cutting edge analytics to stakeholders across the business for the Specialty and Natural Resources business lines, which have seen significant growth over the last 12 months. This is an excellent opportunity for a candidate looking to have a material impact at a top Lloyds’ syndicate and global (re)insurer. As an analyst, you will enjoy a close working relationship with multiple underwriting teams and have a real ability to meaningfully influence the risk selection process. The successful candidate will look to work collaboratively with various internal stakeholders to ensure timely modelling analytics to support risk pricing and wider Catastrophe Management goals.

Responsibilities

• Active involvement in developing relationships with underwriters with the aim of integrating underwriting and Catastrophe Management goals. This involves confident and timely delivery of analytics and the ability to explain how these analytics can help drive risk selection, particularly for lines of business that can be more technical and covering more unique, innovative risks.
• Use RMS and various other tools to deliver market leading analysis both on individual account and portfolio basis.
• Contribute to developing new tools and dashboards to streamline the catastrophe modelling process and build more innovative ways of displaying data.
• Work closely with the Natural Catastrophe Management team, across different regions, to ensure close communication across the team, consistent application of view of risk and contribute to cross-region analytics.
• Create a narrative based on the modelling data and other sources to effectively provide a valuable summary of a certain risk and give advice to Underwriters on the strengths and weaknesses of both the data and the model’s ability to provide meaningful results. This includes communicating the concept of uncertainty.
• Working closely with underwriters to drive decision making for complex risks that fall outside of scope of vendor models including non-modelled risks.
• Communicate risk metrics to key stakeholders.
• Coordinate with the Analytics and Reporting team to ensure timely delivery of data required for internal and external reporting.

Skills And Experience

• Experience in a Cat Modelling role – RMS experience is highly desirable and Specialty / Natural Resources class experience is advantageous.
• Highly numerate and logical – strong mathematical/statistical knowledge is advantageous.
• Excellent business communication skills – ability to influence, negotiate, and listen.
• Ability to manipulate large data sets with strong Excel and SQL skills.
• Experience using Microsoft Power BI for analytics is desirable.
• Intermediate/Advanced Experience with MS SQL is a strong advantage. Ability to build/design and manipulate queries to improve process.
• Familiarity with another programming language such as VBA, .NET, R, Python is an advantage.

Our Benefits

We offer all employees a comprehensive benefits package that focuses on their whole wellbeing. This includes hybrid working, a competitive base salary, non-contributory pension, discretionary bonus, insurances including health (family) and dental cover, and many other benefits to enhance financial, physical, social and psychological health.

About Us

Canopius is a global specialty lines (re)insurer. We are one of the leading insurers in the Lloyd’s of London insurance market with offices in the UK, US, Singapore, Australia and Bermuda. At Canopius we foster a distinctive, positive culture which enables us to bring our whole selves to work to flourish as people, and build a business which delivers profitable, sustainable results.

Based in incredible new offices in the heart of the City of London, Canopius operates a flexible, hybrid working model and is committed to providing an environment that challenges employees to be their best and where everyone’s unique contributions are recognised, valued and respected.

We are fully committed to equal employment opportunities for all applicants and providing employees with a work environment free of discrimination and harassment. All employment decisions are made regardless of age, sex, gender identity, ethnicity, disability, sexual orientation, socio-economic background, religion or beliefs, marital or caring status, or any other status protected by the laws or regulations in the locations where we operate. We encourage and welcome applicants from all diverse backgrounds.

We make reasonable adjustments throughout the recruitment process and during employment. Please let us know if you require any information in an alternate format or any other reasonable adjustments.