Senior Cat Risk Analyst

Canopius • Chicago, IL

55d • $140,000 - $160,000

About The Position

The Role An exciting opportunity for a Senior Catastrophe Risk Analyst with at least four years’ experience to develop a regional function as part of a well-established, market leading Catastrophe Management team. The successful candidate will be using cutting edge proprietary tools to deliver analytics to stakeholders primarily in the US Property team. They will enjoy a close working relationship with underwriting teams and have a real ability to meaningfully influence the risk selection process. They will need to take ownership of integrating new processes and modelling methods, and work closely with the Group Catastrophe Management function to ensure timely modelling analytics to reach Catastrophe Management goals.

Requirements

• At least four years of Cat Modelling experience in any business line, D&F and RMS knowledge are strong advantages
• Highly numerate and logical – strong mathematical / statistical knowledge is advantageous
• Excellent business communication skills - ability to influence, negotiate, and listen to external parties and members of the Catastrophe Management Team
• Ability to manipulate large data sets with strong Excel and SQL skills
• Highly organised and able to work well under time pressure and to tight deadlines
• Familiarity with another programming language such as VBA, .NET, R, Python is a strong advantage
• Familiarity with mapping software and particularly ArcGIS is an advantage
• Be a creative, self-starter with the ability to apply knowledge to solve complex issues as they arise
• Shows initiative and able to work on own or as part of a multi-disciplinary team
• Quick to learn and able to turn their hand to a range of tasks
• Enjoys being challenged and a motivation to continue to improve
• Strong communication skills with ability to explain complex ideas to a variety of audiences
• Outside the box problem solving, with a passion for completing tasks
• Proactive and hard-working
• CAT Risk Modelling
• Risk Management
• Natural/Non-Natural Peril Knowledge
• Stakeholder Engagement
• Underwriting Strategy
• Risk Selection & Pricing
• (Re)Insurance Pricing
• Data Visualisation & Storytelling
• Regulatory Compliance
• Vendor Management
• Data, Risk & Predictive Analytics
• Artificial Intelligence/Machine Learning
• Data Quality Management
• Programming/Scripting
• Research Projects

Responsibilities

• Leading the catastrophe modelling and exposure management for business written out of the US platforms. Initial focus will be D&F with potential to expand into other natural and non-natural business lines.
• Working closely with the Natural Catastrophe Management team, across different regions, to ensure close communication across the team, consistent application of view of risk and contribution to cross-region analytics.
• Leading the development of strategic relationships with underwriters to align underwriting and Catastrophe Management objectives. This involves confident and timely delivery of analytics and the ability to explain how these analytics can help drive risk selection.
• Developing new tools to streamline the catastrophe modelling process and building out smarter reports in collaboration with the Analytics team.
• Translating functionality of the US peril models to underwriters including their strengths/weaknesses, data quality considerations and how this impacts the modelled losses.
• Creating 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.
• Having the confidence to drive process change by overhauling existing processes and implementing methodologies that streamline workflow and processes.
• Contribution to internal and regulatory reporting including monthly roll ups and regulatory submissions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed