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Lead Data Scientist, Cyber Catastrophe Risk Model
Lead Data Scientist, Cyber Catastrophe Risk ModelGuidewire • San Mateo, CA, United States
Lead Data Scientist, Cyber Catastrophe Risk Model

Lead Data Scientist, Cyber Catastrophe Risk Model

Guidewire • San Mateo, CA, United States
[job_card.30_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

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.

Qualifications and 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.
$141000 - $198000 a year
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Lead Data Scientist, Cyber Catastrophe Risk Model • San Mateo, CA, United States

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