Actuarial Consultant

Summary

Job Description

What you’ll do

• Advise insurers and internal stakeholders on the design, interpretation, and application of advanced analytics in pricing, risk rating, and operational modeling, connecting actuarial insights to clear business outcomes.

• Experience using statistical modeling tools such as Emblem, DataRobot, Akur8, Earnix, SAS or others. Python and R modeling are not required but are a plus.

• Analyze customer data for statistical validity and credibility, including data quality, segmentation, and model performance, ensuring that outputs are robust, explainable, and aligned with insurance best practices.

• Partner with Sales and Go-To-Market teams to support prospect and renewal conversations, including discovery, presentation of analytical findings, and responding to detailed actuarial and technical questions.

• Lead or contribute to client-facing meetings, workshops, and presentations—simplifying sophisticated modeling concepts for diverse audiences while also engaging deeply with highly technical stakeholders.

• Provide structured feedback to Product Management and Product Strategy on customer needs, emerging actuarial methods, and opportunities to embed AI, cloud, and data capabilities in our pricing and analytics products, including new categories like Pricing/Rating and Underwriting.

• Collaborate across Product Strategy, Product Development & Operations, and Professional Services to help ensure our solutions are secure, scalable, and measurably improve customer outcomes, including international expansion efforts and AI-enabled features.

• Work with data from multiple sources using SQL and, where helpful, Python or R, ensuring data is ready for modeling and aligned with Guidewire’s standards for accuracy, governance, and auditability.

• At Guidewire, we foster a culture of curiosity, innovation, and responsible use of AI—empowering our teams to continuously leverage emerging technologies and data-driven insights to enhance productivity and outcomes.

What you’ll bring
Required

• Demonstrated ability to embrace AI and apply it to your current role as well as data-driven insights to drive innovation, productivity, and continuous improvement.

• 7–12 years of actuarial experience in property and casualty insurance and/or actuarial consulting, with a focus on pricing, portfolio analysis, or related analytics.

• Deep experience with statistical modeling tools such as Emblem, DataRobot, Akur8, Earnix, SAS, or equivalent, with comfort evaluating and comparing different modeling approaches.

• Strong knowledge of P&C insurance underwriting, risk selection, and pricing practices, including experience analyzing portfolios for profit and loss and performance drivers.

• Proven ability to translate actuarial and modeling concepts into practical business language for non-technical stakeholders, both in writing and in presentations.

• Excellent communication, facilitation, and interpersonal skills, with experience leading client-facing discussions, workshops, or steering sessions.

• Demonstrated ability to manage multiple projects, prioritize under pressure, and operate independently while collaborating effectively in a cross-functional, global environment.

• Experience working with data using SQL and an analytical mindset committed to data quality, validation, and traceability.

• Ability to travel up to 10%, within the USA and internationally, for customer meetings, workshops, and internal collaboration.

Preferred

• ACAS or FCAS strongly preferred; near-ACAS candidates with substantial relevant experience will be considered. CSPA is a plus.

• Hands-on experience using Python or R for actuarial or predictive modeling, experimentation, or data preparation.

• Prior experience with pricing or rating platforms, rating engines, or insurance software implementations.

• Background working with cloud-based or AI-enabled analytics products, or experience partnering with product and engineering teams to shape features.

• Experience supporting international markets (for example, London, continental Europe, Japan, or Australia) and understanding of regional pricing and regulatory nuances.

Disability Accommodations and Guidewire’s Appeals Process. Guidewire provides accommodations to the hiring process to create a fair opportunity for candidates with disabilities to contend for open positions. Accommodation requests should be directed to Accommodations@guidewire.com. If things do not go as hoped, we invite you to use our appeals process. Guidewire promises to independently review any denied accommodation and any decision not to offer you the position. The appeals process is the same in either case. Within five business days of receiving a notice of denial of an accommodation, or receiving a notice of your non-selection for a vacancy, e-mail Accommodations@guidewire.com to make an appeal. Guidewire will assign a new decision-maker to review the request and/or hiring decision, who will then notify you in writing of a decision within 10 business days.

About Guidewire

Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 540+ insurers in 40 countries, from new ventures to 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 1600+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation.

For more information, please visit www.guidewire.com and follow us on Twitter: @Guidewire_PandC.

Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.