Hyderabad, Telangana, India
7 days ago
Senior Analyst, Catastrophe Risk (Data Science) |Risk Consultant

About the Day-to-Day Responsibilities of the Role

·       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

·       Add value to modelled results through customization of output tailored to the needs of clients

·       Perform change management analyses for updates models and Verisk’s Next Generation Models to assist with client adoption

·       Perform portfolio management studies for determining growth strategies, developing scoring templates and risk metrics

·       Manage and participate on internal projects such as testing of new software features and model releases

·       Communicate directly with clients to develop project timelines and manage deliverable expectations, working jointly with global Verisk teams

·       Help clients reliably assess and manage their catastrophe loss potential through interpretation of modelling results

·       Provide day to day client support helping clients use Verisk’s software platforms and understand Verisk’s catastrophe models and their output, including providing training sessions to clients.

 

QUALIFICATIONS

About You and How You Can Excel in This Role

Requirements:

·       Strong analytical and quantitative skills, a solid understanding of probability concepts, excellent problem-solving skills and a commitment to client services.

·       Experience Range: 1+ years

·       Working knowledge of insurance and reinsurance

·       Knowledge of Touchstone Re and /or Touchstone required or equivalent catastrophe modeling platform

·       Excellent communication, time management and organizational skills

·       Experience using Microsoft Office is essential and knowledge and understanding of the insurance/ reinsurance markets is preferred.

·       Ability to code in languages such as SQL, R, Python will be highly beneficial. Knowledge of ArcGIS would be desirable.

 

Education:

·       A degree in science, engineering or mathematics is preferable.

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