Exposure Management Analyst

Exposure Management Analyst

Location:

City of London (Hybrid)
Are you a data-savvy professional or a high-calibre graduate looking to build a career in insurance analytics? We are an established insurance and reinsurance company seeking an Exposure Management Analyst to join our growing Modelling  this role, you will analyze portfolio exposures using a variety of vendor and internal models. You will play a key part in helping the exposure management team develop, refine, and set up cutting-edge processes and systems that directly impact our underwriting strategies.

Key Responsibilities
- Underwriting Support:
Provide high-quality exposure reports to underwriters, enabling accurate risk-taking decisions and ensuring all data is precisely captured.

- Data & Model Management:
Manipulate and input exposure data into industry-standard catastrophe modelling software (e.g., Moody's RMS).

- Portfolio & Variance Analysis:
Run and monitor Exceedance Probability (EP) and internal aggregate model outputs, conducting extensive portfolio reviews.

- Stakeholder

Collaboration:

Manage the data flow process by liaising with underwriting units, communicating modeled numbers, and highlighting model changes or updates.

- Reporting & Compliance:
Assist with regular internal and external market reporting, including quarterly loss estimates, aggregate reporting, and post-event loss analysis.

- Innovation & Development:
Utilise and help develop internal proprietary models, participating in ad-hoc projects to expand our overall Exposure Management capabilities.

Experience & Qualifications

- Education:

A minimum of a 2:1 (second-class honours) degree, ideally in a highly numerate or related field (e.g., Mathematics, Statistics, Geography, Data Science), or equivalent experience.

- Experience:

Ideally 1 to 2 years of experience within an Exposure Management or Catastrophe Modeling team (experience with Property/Specialty Treaty or Direct & Facultative is a plus). High-quality, driven graduates will also be highly considered.

Technical Skills
- Strong computer literacy, with working knowledge of Microsoft 365, Excel, Power BI, and Access.

- Familiarity or experience with Moody's RMS and SQL is highly desirable.

- A foundational understanding of the key principles of catastrophe insurance, loss modeling, and risk aggregation.

Core Competencies
- Analytical Mindset:
Exceptional numeracy skills with the ability to handle, manipulate, and analyse large, complex datasets.

- Communication:
Excellent verbal and written communication skills to effectively translate complex data for internal and external stakeholders.

- Adaptability: A flexible approach to work, with the ability to adapt to changing regulatory requirements, new business classes, and shifting priorities.

- Drive & Teamwork:
Ability to work collaboratively within a team while managing your own time effectively to meet tight deadlines under your own initiative.

- Compliance &

Risk Management:

Maintain a strong commitment to industry standards, corporate risk frameworks, and relevant financial conduct and prudential regulatory rules.