Senior Catastrophe Modeler, Cyber Risk Analytics (supply chain) CAN Remote Option at Cyence | Powderkeg

Location: Canada - Remote

Employment Type: Full-time

Team: Analytics and Data Services

Guidewire is searching for a Catastrophe modeler to join us on our mission to transform cyber-insurance with the industry's leading cyber risk platform. Cyber is the #1 threat to US national security, above nuclear weapons, and our work here makes a meaningful impact in this space! You will report to the Director of Risk Modeling.

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.

Who You Are

You are a passionate and creative problem solver, excited by the prospect of pursuing hard problems and exploring the unknown. You enjoy applying quantitative methods.


  • 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


  • 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

Nice to have

  • Experience with network analysis/modeling, supply chain analysis/modeling OR graph analysis/modeling


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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.

Job Summary
  • Job Title
    Senior Catastrophe Modeler, Cyber Risk Analytics (supply chain) CAN Remote Option
  • Company
  • Location
    San Mateo, CA
  • Employment Type
    Full time
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