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This position will strengthen Property & Casualty (P&C) Planning team's quantitative and technical capabilities, supporting planning processes within IFRS 17 and Solvency II frameworks. The role will also be central to transforming P&C Planning processes and developing planning tools.
As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying "The Art & Science of Risk," SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience of society in around 160 countries worldwide.
Working at SCOR means engaging with some of the best minds in the industry - actuaries, data scientists, underwriters, risk modelers, engineers, and many others - as we work together to find solutions to pressing challenges facing societies.
As an international company, our common culture is defined by "The SCOR Way." Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group. We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration.
SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.
Under the supervision of the P&C Planning Team Lead, you will play a key role in producing and analyzing figures for the overall P&C planning and reforecasting activities (Operating & Strategic Plans, Full Year Landing Updates) under finance analytical frameworks (IFRS 17, Solvency II, Cash-flows).
You will also perform additional analysis and provide actionable insights to management.
You will bring strong quantitative and technical expertise to support the design and development of the new financial planning tool in collaboration with IT, Finance Delivery and Data departments.
Your work will also contribute to enhancing the accuracy of the model, ensuring data quality as well as improving operational excellence.
Financial Analysis and Reporting:
- Contribute to the production and analysis of P&C Operating & Strategic Plans and Full Year Landing Updates within IFRS 17, Solvency II and Cash-flow generation frameworks
- Work closely with Business, Reserving, Finance and Risks teams to ensure alignment of assumptions and methodologies
- Perform additional financial analysis, business initiative assessments and sensitivity analyses to support management decisions
- Prepare clear and insightful presentations for senior management, highlighting key drivers, risks and uncertainties
Process Transformation:
- Analyze existing financial planning and reporting processes to identify inefficiencies and improvement opportunities
- Automate data processing and reporting tasks to improve efficiency
- Support transversal projects across the wider performance team
- Collaborate with stakeholders to drive adoption of new processes and ensure alignment of practice
Tool Development:
- Support the design, development and testing of the new P&C planning tool in Python, including writing scripts, validating outputs, and ensuring model robustness
- Collaborate closely with IT and Data departments to integrate the tool into existing systems and environment
- Provide clear documentation and user guidelines for the new tool and related processes.
Data Quality & Management
- Ensure data quality by supporting the Data Steward: validate data sources, check data integrity, reconcile discrepancies, and document data lineage
- Develop automated processes for data validation and reporting
- Ensure P&C Planning data integrity and accessibility across tools and platforms.
Stakeholder Engagement:
- Build strong relationships with Business, Finance and Risks teams
- Act as a trusted contributor on Finance transformation project
Required experience & competencies
- 3-5 years in finance, actuarial, or risk management within (re)insurance or consulting
- Proven experience in financial modeling or quantitative analysis
- Previous exposure to IFRS 17 and Solvency II frameworks would be a plus
- Strong programming skills (Python required)
- Ability to manipulate, analyze, and visualize large datasets
- Familiarity with data lake/data warehouse environments (e.g., Foundry, Databricks) is an advantage
- Strong analytical and problem-solving skills
- Proactivity, curiosity, and organized
- Ability to communicate complex concepts clearly to non-technical stakeholders
- Collaborative mindset and adaptability in an international environment
- Fluency in English required, French is considered as an asset
Required Education
Master's degree in Finance, Actuarial Science, Data Science, Engineering, or a related quantitative field.
Proactivity, curiosity, and organized
