Full-Time

Lead Data Scientist

Cyber Catastrophe Risk Model

Posted on 5/2/2024

Guidewire

Guidewire

1,001-5,000 employees

Cloud-based solutions for P&C insurers

Data & Analytics
Fintech

Senior

San Mateo, CA, USA

Required Skills
Python
Airflow
R
SQL
AWS
Data Analysis
Requirements
  • 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 statistical data analysis, feature engineering, data visualization, and hypotheses testing.
  • True passion for leading, inspiring, mentoring, and attracting world-class colleagues.
  • Experience working with different types of datasets (e.g., unstructured, semi-structured, with missing information).
  • Proficiency in Python or R, and SQL.
  • Experience working with tools such as AWS Athena, Databricks, Apache Airflow, etc.
  • 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.
Responsibilities
  • Develop, calibrate, validate, and stress test probabilistic cyber risk models for the (re)insurance and financial services markets.
  • Develop and implement methodologies to quantify the financial impact of cyber risk on single entities as well as large insured portfolios, with a specific focus on digital/physical supply chain-related events.
  • Develop and implement tools to effectively visualize the potential impact of cyber events.
  • Explore different data sources to come up with features and assumptions to enhance our set of probabilistic risk models.
  • 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.
  • Communicate results to internal and external stakeholders.
  • Engage and collaborate directly with clients on a deep technical level.
  • Collaborate with other leaders across the Analytics organization, including Product Management, Engineering, and Client Engagement.

Guidewire provides a platform for Property and Casualty (P&C) insurers, offering digital, core, analytics, and machine learning technologies delivered as a cloud service. With over 540 insurers in 40 countries relying on Guidewire, the platform supports the entire insurance lifecycle, enabling efficient growth and innovation.

Company Stage

Series A

Total Funding

$348.6M

Headquarters

San Mateo, California

Founded

2001

Growth & Insights
Headcount

6 month growth

1%

1 year growth

2%

2 year growth

9%

Benefits

Financial: Receive market-competitive pay and incentive programs—because you deserve it! To help future-proof your income, we offer generous support through retirement savings plans.

Health & Wellness: Keep your physical and emotional health in tip-top shape with health insurance for you and your family, an employee assistance program, annual wellness reimbursement, and access to wellness resources.

Flexible Working: Work in an environment where you’ll have the freedom and trust to make an impact, with time for your life outside of work.

Downtime: Relax and kick back through our generous paid time-off programs. Make a difference in your community with three volunteer days each year. Take your own personal day of rest with My Day. We also offer ample paid leave for all new parents.

Continual Development: We encourage self-directed learning, giving you every chance to become a better version of yourself, both professionally and personally. At Guidewire, lifelong learning is here for the taking.

Career Mobility: Your career opportunities are only limited by your own imagination. Guidewire’s community is filled with chances to expand your horizons across any of our teams or worldwide locations.