Catastrophe Risk Specialist

at  TD Bank

JOB DESCRIPTION:

We are seeking a detail-oriented Catastrophe Risk Specialist to join our team. In this role, you will be responsible for developing and maintaining catastrophe models to assess potential losses from natural disasters. You will collaborate closely with actuaries, data scientists, and underwriters to ensure our models accurately assess and manage catastrophe risks, supporting strategic decision-making and enhancing our risk management capabilities.

REQUIREMENTS:

• 7+ years’ experience in a Catastrophe Modelling role using one or both of RMS and AIR Verisk.
• Experience in insurance, reinsurance, catastrophe model development, catastrophe risk pricing or risk management is a plus.
• Bachelor’s degree in Mathematics, Statistics, Actuarial Science, Atmospheric Science, Geospatial Science or related field.
• Proficiency in catastrophe modeling software, programming languages such as Python, R, SQL, or similar for data manipulation and modeling.
• Strong analytical skills with a deep understanding of risk assessment and modeling techniques.
• Excellent communication and presentation skills, with the ability to translate complex technical concepts to non-technical stakeholders.
• Certification or coursework in Catastrophe Modeling, Risk Management (e.g., CPCU, ARe) or Actuarial Exams is advantageous.

WHO WE ARE

As part of TD Bank Group, one of Canada’s largest financial institutions, at TD Insurance, we care for Canadian families, making it easy to get the best advice, protection, and support in their moments of need, always.
TD Insurance offers a wide range of products, including General Insurance and Life and Health. More than four million customers count on us.
As the largest direct to consumer insurer in Canada, we are always innovating and providing exciting and rewarding career opportunities for our Canada-wide workforce.

• Develop and calibrate catastrophe models using industry-standard software (e.g., RMS, AIR VERISK etc).
• Analyze historical data, scientific research, and insurance claims to enhance model accuracy.
• Collaborate with actuaries, underwriters, and data scientists to understand risk exposures and model limitations.
• Interpret model outputs and assumptions from multiple models to help form a view of risk.
• Coordinate with risk management partners the independent review of model performance, documentation, and validation.
• Conduct sensitivity analysis and scenario testing to evaluate the impact of different variables on risk assessments.
• Participate in the review of the reinsurance strategy and evaluate reinsurance structure to optimize shareholder value.
• Proactively share knowledge in catastrophe-related areas, create learning experiences and foster teamwork and cross-functional collaboration
• Communicate findings and recommendations to stakeholders through reports, presentations, and technical documentation.
• Stay updated with industry advancements, regulatory requirements, and best practices in catastrophe modeling.