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About the Role

This role provides exposure management and catastrophe risk analytical support to Exposure Management and Underwriting teams, delivering high-quality risk insights to support underwriting and portfolio management decisions. The role is responsible for collecting, assessing, analyzing, and reporting exposure management information.

Responsibilities

• Analyze and manage large, complex datasets using catastrophe and accumulation modeling tools to assess, quantify, and communicate catastrophe and accumulation risk across the portfolio.
• Support the development and enhancement of data ingestion, transformation, and quality control processes to improve the efficiency and accuracy of catastrophe modeling workflows.
• Interpret, synthesize, and present catastrophe model outputs to underwriting teams, including analysis of portfolio changes, model movements, and key risk drivers.
• Operate catastrophe modeling platforms and interrogate exposure and results databases using SQL and other analytical tools.
• Contribute to the continuous improvement of Exposure Management practices through process optimization, automation, and the development of new analytical capabilities.
• Support the design and implementation of operational workflows, controls, and governance processes for the APAC Exposure Management function.
• Assist the Head of Exposure Management in building and developing a high-performing Exposure Management team to support future regional growth.
• Develop innovative analytical solutions to help underwriting teams better understand, quantify, and manage catastrophe risk.
• Assess and monitor exposures throughout the underwriting lifecycle, from data receipt and validation through to modeling, analysis, and reporting.
• Support post-event analytics and loss estimation activities for both natural and non-natural catastrophe events.
• Assist in the validation, benchmarking, and review of third-party catastrophe models and associated modeling assumptions.
• Collaborate effectively with stakeholders across multiple functions, geographies, and time zones to support the successful establishment and ongoing operation of the APAC Exposure Management capability.

Requirements

• 2+ years' experience in a catastrophe risk, exposure management, actuarial, or related analytical role.
• Highly adaptable and comfortable working in a fast-paced, evolving environment, with the ability to take ownership, establish new processes, and contribute to the development of a growing function.
• Strong analytical and data manipulation skills, with the ability to interpret and communicate complex datasets and modeling results.
• Experience with catastrophe modeling platforms, preferably Moody's RMS solutions, including RiskLink, Risk Modeller, IRP, UWIQ and/or EIQ.
• Experience with alternative catastrophe modeling platforms would be advantageous.
• Familiarity with APRA reporting requirements and catastrophe risk management frameworks is desirable.
• Experience supporting catastrophe event response activities, hazard monitoring, and post-event reporting.
• Proficiency in SQL and Microsoft Excel.
• Experience with Python, R, Power BI, or similar analytical or programming tools would be beneficial.

Skills

• Catastrophe modeling
• Exposure management
• Risk analysis
• Data analysis
• SQL
• Microsoft Excel
• Python
• R
• Power BI

Location

• APAC

Work Type

• Full-time

Experience Level

• 2+ years

Education Level

• Degree in a quantitative, scientific or hazard-related discipline (e.g., Mathematics, Statistics, Engineering, Computer Science, Physics, Meteorology, Seismology, Atmospheric Science, Geography, Environmental Science)
• Equivalent industry experience will also be considered

About the Company

• Munich Re Specialty (MRS) aims to be a profitable top-10 global primary Specialty insurer.
• MRS-GM is expanding the primary Specialty business in continental Europe and APAC, starting with Australia.

Equal Opportunity

• DEI is a business imperative, helping to attract, grow, and inspire a diverse, inclusive, and equitable workforce.
• Globally, we strive to build balanced teams across all aspects of difference.
• Encourage application even if experience doesn't perfectly match every qualification.