Job Description

Location: Remote (U.S.)
Posted: January 31, 2025

About Guidewire-Cyence:

At Guidewire-Cyence, we’re on a mission to revolutionize cyber-insurance with the industry's leading cyber risk platform. As the world’s #1 cyber threat escalates—surpassing even nuclear weapons in severity—our work has never been more vital. By joining us, you'll make a tangible impact on a global scale, working with some of the brightest minds in the industry, all while helping insurers and financial services companies tackle one of the greatest challenges of our time.

What We Do:

Guidewire is the AWS of insurance. We’re the backbone that over 540 insurance companies trust to run their mission-critical operations. From underwriting policies to settling claims, we make sure that every second counts. Now, we’re stepping up to lead the way in cyber risk quantification and mitigation, helping insurers navigate one of the fastest-growing and most complex risk areas: cybersecurity.

What You’ll Be Doing:

As a Senior Data Scientist at Guidewire-Cyence, you’ll help drive the next generation of cyber risk modeling for the (re)insurance and financial services markets. Your work will directly impact our platform and transform the future of cyber-insurance. Here’s what you’ll be doing:

???? Develop, Calibrate, and Deploy Risk Models

• Build cutting-edge cyber risk models for predicting financial impacts of cyber threats across diverse portfolios.
• Help design and deploy probabilistic risk models for global clients, making cyber risk quantification more accurate and actionable.

???? Explore Data, Enhance Models

• Dive into multiple data sources, enriching our existing models with new features, assumptions, and insights.
• Build tools that visualize the potential impacts of cyber events, making complex data easy to understand for stakeholders.

???? Integrate and Automate

• Integrate modeling processes into Guidewire’s production pipeline to seamlessly feed our platform.
• Develop and implement best practices for data validation, feature selection, and catastrophe exposure modeling.

???? Collaborate with Industry Leaders

• Work closely with clients and internal teams, translating complex data insights into strategic solutions.
• Take ownership of projects, mentoring junior data scientists and collaborating with product, engineering, and client teams to enhance our offerings.

What We’re Looking For:

???? Qualifications & Skills:

• PhD or MS degree in Computer Science, Applied Mathematics, Statistics, Engineering, or other quantitative disciplines.
• 5+ years of hands-on experience in statistical data analysis, predictive modeling, feature engineering, and data visualization.
• Expertise in AWS tools (S3, Glue, Sagemaker), and data manipulation using Python, pandas, pyspark.
• Experience in developing end-to-end modeling pipelines using AWS tools like Airflow, Redshift, and Athena.
• A strong background in machine learning tools (e.g., Scikit-learn, XGBoost) and catastrophe modeling is a plus!

???? Who You Are:

• A passionate, detail-oriented problem solver who enjoys the full lifecycle of modeling.
• A collaborative leader who thrives in mentoring and guiding teams towards world-class results.
• Creative, curious, and motivated to explore the unknown, solving complex problems with innovative solutions.

Compensation & Benefits:

???? Base Salary Range (U.S.):

• $116,000 - $212,000
• Plus bonus, equity, and comprehensive benefits.

At Guidewire, we believe in fair and competitive pay based on role, experience, and location. Your recruiter will share specific salary details for your area during the hiring process.

Why Guidewire-Cyence?

We don’t just help teams make better decisions; we help the insurance industry evolve and adapt to an increasingly complex world of cyber risk. Our mission-driven culture is rooted in innovation, collaboration, and a commitment to diversity. By joining us, you’ll be part of a company that’s truly changing the game.

Ready to Join Our Team?
If you’re passionate about cybersecurity, data science, and modeling, apply now to make a real-world impact. Help us transform cyber-insurance with Guidewire-Cyence! ????