
Website Guidewire Software
Job Description:
Guidewire is the AWS of insurance. As the market leader, 380 insurance companies run on our mission critical platform. Every second, we support underwriters crafting policies and agents settling claims. We believe that making a great decision should not require 100 in-house data scientists. Our products range from cyber risk quantification to potent ML sandboxes. We are a post-IPO company with the vision to redefine insurance. There is a lot to be done.
Job Responsibilities:
- Developing and implementing methodologies to quantify the impact of cyber security risk, as well as other emerging risks affecting the P&C industry
- Exploring different data sources to come up with features and assumptions to enhance our set of risk models
- Calibrating, testing and validating different types of models in the insurance space
- Integrating modeling processes in our production pipeline to feed our platform
- Communicating technical details related to the models and their outputs to individuals from various backgrounds
- Working together with cyber analysts, data engineers, modelers, and product managers
Job Requirements:
- Master’s or PhD degree in a quantitative field (e.g. CS, Statistics, Sciences, Engineering, Economics)
- 5+ years of solid statistics and predictive modeling foundations
- Experience in data analysis, feature engineering, data visualization and hypotheses testing
- Experience working different types of datasets (e.g. unstructured, semi-structured, with missing information)
- Experience in implementing parametric and non-parametric models in a production-level environment
- High level proficiency in Python or R, and SQL
- Good written and verbal communication skills
- Ability to think critically and creatively in a dynamic environment, while picking up new tools and domain knowledge along the way
- A positive attitude, and a growth mindset
Job Details:
Company: Guidewire Software
Vacancy Type: Full Time
Job Location: Fayetteville, NC, US
Application Deadline: N/A
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