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Salary
≈ $58k – $98k per year (Estimated)
Location
In office (Paris)
Seniority
Senior · 6+ years exp

Confirmed on the employer's own hiring board on Oct 5, 2026. First seen by Alion on May 29, 2026. SCOR scores A on the Alion truth index.

Overview
Company
Impact
Profile match
SCOR is a French global reinsurance group headquartered in Paris that provides property and casualty and life and health reinsurance, specialty insurance and investment solutions to insurers and corporate clients. Created in 1970 with the backing of the French government as Societe Commerciale de Reassurance, it is a listed Societas Europaea with offices across Europe, the Americas and Asia, including a large service centre in Bucharest. It hires actuarial, underwriting, legal, finance, data and IT staff such as data engineers, QA engineers and AI engineers, and runs graduate programmes and internships in actuarial work, sustainable finance and audit.

Under the supervision of the P&C Planning Team Lead, you will contribute to the evolution of P&C Planning and Performance analytical practices, with a strong focus on automated analytics, scalable tooling and dashboarding including new P&C planning tool and linked dashboards as well as Actual analytics dashboards. You will work transversally with Planning and Performance teams to reduce manual workload, improve consistency and support the progressive industrialisation of recurring analytical processes. The role combines hands-on execution (coding, testing and automation) with enablement, by supporting peers in adopting new tools and self-service capabilities. In your role you might be involved in or put in charge of ad hoc financial analysis, simulations or transversal initiatives.

Operational Practices & Tooling

  • Contribute to the development and maintenance of robust analytical foundations supporting P&C Planning and Performance activities.

  • Support the development of the new P&C planning tool (design, testing, workflow, pipelines)

  • Support the evolution of analytical workflows and practices to improve efficiency, robustness and scalability.

  • Contribute to operational excellence by improving quality checks, standardizing working files, and optimizing process efficiency

    Automation & Analytics

  • Design, develop, test and maintain automated analytical pipelines and dashboards using Python and industrial data platforms.

  • Contribute to the design, testing and operational rollout of enhancements to the P&C Planning tool, in coordination with relevant stakeholders.

  • Oversee documentation of data sources, versions and lineage to guarantee auditability and transparency

    Enablement & Collaboration

  • Support team members in adopting automated solutions and self-service analytics.

  • Contribute to training, documentation, and knowledge sharing to promote autonomy across teams.

  • Work closely with your peers and the Data & Analytics department to align analytical solutions with platform standards and data governance principles.

  • Financial Planning & Analysis
  • Support the Planning or Performance team in case of bandwidth challenges

  • Lead or contribute to ad hoc analysis, simulations or any other initiatives as requests by management

  • Provide expertise on methodological topics and support the Team in addressing toolrelated questions or data issues

  • Present analyses, insights, and expectations in a clear and structured manner to management and internal stakeholders

    Stakeholder Engagement

  • Act as a key counterpart for Business, Finance, Reserving, Risk, Data & Analytics and other functional from a data and technology standpoint and to a lesser extent on financial matters
  • Lead coordination on methodological matters, ensuring alignment across all contributing teams
  • Promote collaboration, anticipate needs, and provide guidance to ensure seamless cross-functional execution
  • 6-8 years of experience in financial planning, performance management, analytics or related roles within (re)insurance or consulting.
  • Strong hands-on Python skills for analytics and automation.
  • Experience with industrial data platforms (e.g., Foundry) is a strong advantage.
  • Strong analytical, communication and collaboration skills.
  • Proven ability to run, challenge and validate complex analytical processes with a high level of rigor

  • Excellent problemsolving skills with the ability to interpret results, challenge assumptions and propose improvements

  • Strong communication skills, with the ability to explain technical topics clearly to both technical and nontechnical audiences

  • High level of reliability, organization and ownership, especially during planning peaks

  • Ability to work autonomously while collaborating effectively

  • Strong stakeholder management skills and comfort working in an international environment.

  • Fluency in English required, French is an asset

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