Location: Canada - Remote

Employment Type: Full-time

Team: Analytics and Data Services

Ready for a new challenge? Join Guidewire as a Principal Catastrophe 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.

Who We Are, What We Believe, & What We Build

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 Principal Modeler will include:

• Developing and implementing methodologies to quantify the impact of cyber security risk, with a specific focus on supply chain-related events
• Developing and implementing tools to effectively visualize the potential impact of potential cyber events
• 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/automating modeling processes in our production pipeline to feed our platform
• Define and implement a globally consistent best practice process for data validation, feature selection, and modeling of catastrophe exposures
• Champion best practices to design and extend a rapid and flexible modeling framework
• Main analytics point of contact and collaborator with client facing teams
• Collaborating with other leaders across the Analytics organization, including Product Management, Engineering, and Client Engagement

What we are looking for:

• PhD or MS degree in Applied Mathematics, Statistics, Engineering or similar quantitative disciplines
• Mastery of deep learning non/parametric models, clustering, anomaly detection, and interpretability
• 5+ years of experience in data analysis, feature engineering, data visualization and hypotheses testing
• True passion for leading, inspiring, mentoring, and attracting world-class colleagues
• Experience working different types of datasets (e.g. unstructured, semi-structured, with missing information)
• High level proficiency in Python or R, and SQL
• Excellent 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)

#LI-Remote

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About Guidewire

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.