Catastrophe Analyst

JR United Kingdom; London; On-site; GBP 40,000 - 80,000; Full time

Job description

Social network you want to login/join with:

Reports to: UK Catastrophe Analytics Lead

Location: London

About BMS

BMS is a dynamic, independent global broker established in 1980, delivering specialist insurance, reinsurance, and capital markets advisory services. Our purpose is to help people, businesses and communities flourish and prosper in a world of risk.

We are a global brand with offices located across the US, Canada, Latin America, Australia, Europe and Asia with both a strong local focus and understanding of market needs. Being independent gives our brokers the freedom to deliver the best solutions and combined with our collaborative team approach, single platform worldwide and renowned personal service, we are the independent broker of choice.

About the role

This is an exciting time to join BMS Re as we grow the business in London and therefore build out the catastrophe analytics function.

The role will work with the existing analytics teams (UK, International, Mumbai and US cat modelling functions as well as actuarial and data teams) to service broking teams and their clients across the UK, Bermuda and International functions.

The UK and International team currently operate as one with a strong focus on collaboration, exploring new ideas and group ownership of both successes and challenges.

The role will focus on catastrophe analytics, utilising industry standard tools (Moody’s and Verisk platforms), building relationships and assessing non-standard vendors (e.g. Fathom, KCC) as well as using and supporting development of bespoke BMS tools and practice to support (re)insurance placements from across multiple lines of business.

There will also be opportunities to be involved in data strategy to drive automation and efficiencies with the aim of moving catastrophe modelling analysts at BMS from producers to consumers of cat analytics.

Key Responsibilities:

• Data cleansing, manipulation and reporting, predominantly with a catastrophe modelling focus.
• Producing and analysing catastrophe modelling output.
• Presenting to clients and colleagues.
• Project work focused on developing bespoke catastrophe analytics solutions for clients.
• Engaging with various teams across the company regarding catastrophe analytics support.
• Aiding with RfP Presentations.
• Developing tools and processes to improve efficiency and analytical capability.
• Supporting market submissions.
• Supporting team development through L&D goals.
• Participation in strategic initiatives ranging from new insurance products to data solutions.

Skills and Capabilities Required:

• Experience of using at least 1 catastrophe model: RMS, AIR, KCC or Nasdaq for example.
• Numeracy and literacy skills.
• Proficient in Microsoft Office (e.g. PowerPoint, Excel).
• Data visualisation experience is beneficial (e.g. PowerBI, Qlik, Tableau).
• SQL knowledge required, additional coding knowledge beneficial (e.g. Python, R or experience of working with Alteryx).
• Geospatial analytical experience (i.e. GIS software) is beneficial.
• Relevant experience in the industry.
• Academic background in a relevant subject.
• The successful candidate will work across multiple teams and regions with a strong element of client facing. They are expected to be professional and personable at all times; to support and advocate for all aspects of the business and to recognise and build upon areas of development.
• The successful candidate will be quick to learn, comfortable and capable communicating with clients and internal stakeholders, creative in their thinking and problem solving and have keen attention to detail.
• The successful candidate will exhibit strong collaboration skills while also demonstrating the ability to work independently when needed. They will contribute to multiple team projects, offering insights and advice, and actively support colleagues.
• They will personally demonstrate the five BMS values and ensure that team members are aligned with these.