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Argo Group

Underwrites specialty insurance and risk management

Senior P&C Data Scientist

Actuarial & Risk ModellingConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A bachelor's degree in mathematics, statistics, actuarial science, computer science, data science, or a related quantitative field is required.
  • Five years of relevant experience in data science, analytics, pricing, actuarial, or related quantitative roles is required; a master's degree may be considered in lieu of one to two years of experience.
  • Advanced proficiency in analytical programming languages and tools such as SQL, Python, or R is required.
  • Experience working with large, complex datasets and applying statistical or machine learning methods to real-world business problems is required.
  • Strong analytical judgment, problem-solving ability, and communication skills are required.
  • The candidate must be able to work independently and own complex analytical models.
  • Applicants must be legally authorized to work in the United States.

Responsibilities

  • Develop, refine, and maintain analytical models supporting property and casualty pricing, including frequency, severity, pure premium, risk segmentation, persistency, and portfolio optimization models.
  • Independently own pricing models and translate analytical results into actionable recommendations.
  • Apply insurance domain knowledge, including coverage, exposure, underwriting rules, and regulatory considerations, in model design, development, interpretation, and business use.
  • Own the end-to-end analytical lifecycle for complex initiatives, including data exploration, feature engineering, model building, validation, implementation, monitoring, and enhancement.
  • Select and apply statistical and machine learning techniques appropriate for pricing use cases, balancing predictive performance, stability, interpretability, and regulatory considerations.
  • Design and execute validation frameworks to assess model performance, stability, and business impact.
  • Drive the implementation of models and analytical outputs into pricing and reporting workflows.
  • Work independently with large, structured and semi-structured datasets using SQL and analytical programming languages such as Python or R.
  • Establish and uphold standards for data quality, reproducibility, documentation, and version control.
  • Follow model development best practices and model risk governance standards.
  • Serve as an analytics partner to actuarial, underwriting, distribution, and product stakeholders.
  • Translate technical analyses into actionable insights using appropriate visualizations and written summaries.
  • Influence decision-making by framing trade-offs, risks, and opportunities using data-driven narratives.
  • Respond to feedback and iterate on analyses to better support business decisions.
  • Present analytical findings to senior management and cross-functional leadership.
  • Mentor and provide technical guidance to P&C Data Scientist I and II team members through code reviews, modeling discussions, and project support.
  • Contribute to the development of analytical standards, best practices, and reusable modeling frameworks.
  • Stay current on property and casualty industry trends, pricing methodologies, and analytical best practices within property and casualty insurance.
  • Proactively identify opportunities to improve models, processes, data usage, and business outcomes within the pricing analytics function.

Desired Qualifications

  • Significant experience in property and casualty insurance, particularly pricing, ratemaking, underwriting analytics, or actuarial support.
  • Familiarity with several predictive modeling techniques, such as generalized linear models, tree-based models, and gradient boosting.
  • Familiarity with regulatory and governance considerations related to pricing and underwriting.
  • Experience implementing and monitoring models in production or business workflows.
  • Experience mentoring and reviewing the work of junior coworkers.

About the Company

Argo Group

Underwrites specialty insurance and risk management

Argo Limited provides specialty insurance and risk management for clients with complex risks in niches like construction, marine, and energy. It underwrites policies, handles claims, and uses premium investments to earn returns. It differentiates itself by focusing on niche markets and expert risk assessment rather than standard policies. Its goal is to build long-term client relationships while maintaining steady profitability through underwriting margins and invested premiums, with a commitment to corporate responsibility and community engagement.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Pembroke, Bermuda
Founded
1996

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