Ready for a new challenge? Join Guidewire as a Senior Data Modeler!

Guidewire’s Cyence Risk Analytics products help the property & casualty (P&C) industry to model new and evolving risks such as cyber. By combining internet-scale data listening, adaptive machine learning, and insurance risk modeling, Cyence Risk Analytics provides insights that help P&C customers face new risks, take advantage of new opportunities, and develop new products.

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.

Who You Are: Your responsibilities as a modeler will include:

• 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 

What we are looking for:

• Master’s or PhD degree in a quantitative field (e.g. CS, Statistics, Sciences, Engineering, Economics)
• 6+ 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

Bonus:

• Insurance, actuarial modeling or financial modeling experience
• General understanding of computer network and cybersecurity
• Experience with Cloud infrastructure (e.g. AWS), and open source data processing frameworks (e.g. Hadoop, Spark, Mongo and Cassandra)

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Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently.

Guidewire combines core, data, digital, analytics, and AI to deliver our platform as a cloud service. More than 400 insurers, including the largest and most complex in the world, run on Guidewire.

As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1000+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of add-ons that accelerate integration, localization, and innovation.

Guidewire Software Inc. provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.