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SCOR

Global reinsurer offering P&C and L&H.

Actuary – P&C & AI Assurance

Quantitative RiskConfirmed live in the last 24 hours
Full-timeÎle-de-France, FranceNo salary listedIn-person

About the Job

Requirements

  • A degree from an engineering school, actuarial school, or equivalent university education, with a specialization in actuarial science, statistics, data science, or risk modeling.
  • Strong understanding of risk-modeling issues; initial exposure to P&C risks, pricing, reserving, or economic capital is an advantage.
  • Strong skills in statistics, data analysis, and modeling.
  • Proficiency in Python and its data-science ecosystem, including Pandas, NumPy, and Scikit-Learn.
  • Ability to critically analyze, test, and challenge model methodologies, assumptions, data, and results, and to document clear, traceable conclusions.
  • Knowledge of artificial intelligence, machine learning, and generative AI.
  • Very good written and spoken English.
  • Strong communication, synthesis, and explanation skills for interacting with technical and business stakeholders.
  • Autonomy, intellectual curiosity, initiative, and ability to work in an international, cross-functional environment.

Responsibilities

  • Support preparation, execution, and documentation of independent validation work for P&C risks in SCOR’s internal model.
  • Critically analyze and review methodologies, assumptions, data, calibrations, results, limitations, and expert judgments used in P&C risk modeling.
  • Conduct quantitative analyses, independent tests, and sensitivity or materiality reviews to support validation conclusions.
  • Contribute to validation reports, findings and recommendations, and follow-up of associated action plans.
  • Support coordination of validation work with the P&C validation lead, prepare discussions with model-owner teams, and present conclusions to governance bodies.
  • Conduct independent reviews of scorecards and contribute to validation of artificial-intelligence models and systems, documenting analyses and conclusions in validation deliverables.
  • Design, execute, and document test campaigns covering fields, business rules, workflows, and calculations implemented in OpenPages for model inventory and EU AI Act compliance.
  • Analyze and improve the reliability of the inventory of models and AI systems, including data quality, classification consistency, anomaly tracking, and remediation plans.
  • Work with Tech & Data, Legal, Risk Management, and business teams to gather needs, scope changes, prioritize work, and track actions.
  • Contribute to the development and improvement of AI assistants for Group Actuarial teams to automate recurring tasks and facilitate access to information.

Desired Qualifications

  • Specialization or experience in P&C and/or artificial intelligence.
  • Experience with R, SQL, or data-visualization tools.
  • Familiarity with large language models, prompt engineering, or tools such as Microsoft Copilot, Azure AI, or OpenAI.
  • Interest in independent validation, model governance, Model Risk Management, and EU AI Act requirements.

About the Company

SCOR

Global reinsurer offering P&C and L&H.

SCOR SE is a global reinsurer with two main segments: Property & Casualty (P&C) and Life & Health (L&H). It helps insurance companies and other businesses transfer part of their underwriting and financial risks through reinsurance, while also managing a diversified asset portfolio. In P&C, it covers property, casualty, and specialty lines such as natural catastrophes, agriculture, aviation, and marine risks; in L&H, it covers life, health, and long-term care risks. SCOR’s goal is to support clients in reducing risk across regions by offering a broad suite of risk-management solutions and maintaining a balanced, global portfolio.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Paris, France
Founded
1970

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