Senior Risk Consultant (Catastrophe Modelling)
- London
- Permanent
- Full-time
- Provide day to day client support helping clients use Verisk's software platforms and understand Verisk's catastrophe models and their output, includes Touchstone, Touchstone Re and Analyze Re.
- Act as the primary contact to assigned Verisk clients for all support needs.
- Provide presentations and training sessions to clients to help clients understand and use Verisk's software and models.
- Perform sophisticated risk analyses using Verisk's cutting-edge technology for insurers, brokers, and other financial intermediaries in the internationally expanding business of catastrophe risk management for perils such as earthquake, tropical cyclone and flood.
- Add value to modelled loss results through customisation of output tailored to the needs of clients.
- Communicate directly with clients leading consulting projects.
- Help clients reliably assess and manage their catastrophe loss potential through interpretation of modelling results.
- Perform portfolio management studies for understanding model change.
- Help to develop bespoke solutions for client's workflow needs potentially using coding in SQL, R and other languages. Includes the Analyze Re API suite for bespoke reinsurance modelling requirements.
- Monitor emerging risks and trends in catastrophe risk management.
- Strong analytical and quantitative skills, a solid understanding of probability concepts, excellent problem-solving skills and a commitment to client services.
- Proficiency in catastrophe software is required, preferably Verisk's Touchstone, Touchstone Re and/or Analyze Re or equivalent.
- Excellent communication, time management and organisational skills are also required.
- Strong attention to detail and ability to produce high quality work
- Experience using Microsoft Office is essential including Excel
- Minimum 3 years experience working in the insurance/ reinsurance market, especially the Lloyd's market is preferred.
- Ability to code in languages such as SQL, R, Python will be highly beneficial. Knowledge of ArcGIS would be desirable.