We are seeking a Data Modeler for the Finance domain to join our Tech, Data & AI team. The successful candidate combines strong data modeling expertise with a solid understanding of Finance processes in a reinsurance context. You bring the ability to translate complex financial requirements into structured, scalable, and business-aligned data models.
This position goes beyond pure technical modeling: it requires ownership of how Finance data is represented across systems, ensuring consistency, traceability, and alignment with enterprise standards to support reporting, closing, planning, and decision-making.
ResponsibilitiesKey duties and responsibilities
Under the responsibility of the Finance Lead Data Engineer, your mission will be to:
Design, build, and maintain conceptual, logical, and physical data models for Finance within the Data Foundation (Databricks & Palantir Foundry), supporting financial processes such as closing, planning, and performance analysis.
Develop and evolve analytical data models that enable scalable reporting, self-service analytics, and AI-driven use cases.
Contribute to the enterprise Finance data model, ensuring consistent business definitions and alignment across domains and systems
Collaborate with Data Engineers, Architects, and Finance stakeholders to ensure models reflect business semantics and integrate into the overall data architecture.
Ensure data consistency, reconciliation capability, and proper handling of granularity, time dimensions, and historical tracking in financial datasets.
Support metadata management, business glossaries, and data lineage in collaboration with data stewards to provide transparent and governed Finance data.
Apply and promote data modeling standards and best practices to improve quality, reusability, and maintainability of Finance data assets.
Translate complex Finance requirements into robust and scalable data structures that support both operational and analytical needs.
Required experience & competencies
- Strong experience in data modeling, including conceptual, logical, and physical models.
- Proven experience in financial services, with a solid understanding of Finance data and processes.
- Experience building analytical data models for reporting and analytics.
- Proficiency in SQL and/or PySpark, with understanding of modern data platform architectures.
- Experience with Databricks and/or Palantir Foundry.
- Understanding of data governance, metadata management, and data quality principles.
- Strong analytical thinking, attention to detail, and ability to structure complex topics.
- Ability to collaborate effectively with both technical and business stakeholders.
- Excellent communication skills and ability to operate in an international, matrix environment.
Required Education
- MSc or PhD in computer or data science, software or computer engineering, applied math, physics, statistics, or a related field or equivalent experience
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.
Skills Required
- Strong experience in data modeling, including conceptual, logical, and physical models
- Proven experience in financial services with a solid understanding of Finance data and processes (reinsurance context preferred)
- Experience building analytical data models for reporting and analytics
- Proficiency in SQL and/or PySpark
- Experience with Databricks and/or Palantir Foundry
- Understanding of data governance, metadata management, and data quality principles
- Strong analytical thinking, attention to detail, and ability to structure complex topics
- Ability to collaborate effectively with both technical and business stakeholders
- Excellent communication skills and ability to operate in an international, matrix environment
- MSc or PhD in computer/data science, software or computer engineering, applied math, physics, statistics, or related field, or equivalent experience
What We Do
SCOR, one of the world’s largest reinsurers, serves more than 5,000 clients worldwide, providing a diversified and innovative range of solutions to control and manage risk. SCOR delivers advanced financial solutions, analytics and services across all dimensions of risk in Life & Health, Property & Casualty, and Investments. Reinsurance lies at the intersection of technical expertise and scientific progress. Models, data, and pricing and reserving tools are essential, yet they are never sufficient on their own. Sound risk decisions require expert judgment, experience and perspective. This is what we call the Art and Science of Risk. Reinsurance is a knowledge industry, where expertise grows through accumulation, transmission and practice. Across the Group, 3,600 experts based in more than 35 offices worldwide contribute to this collective intelligence. Actuaries, underwriters, risk management specialists, and Tech & Data experts transform data into insight, explore extreme scenarios, define the boundaries of insurability and help anticipate emerging risks. Together, they strengthen the resilience of SCOR, our clients and the societies we serve. This expertise is built through shared experience,continuous questioning and collective reflection. Like artists, we belong to schools of thought, learning first to observe, then to replicate, and ultimately to innovate. This ongoing transmission of knowledge enables SCOR to develop a distinctive approach, combining rigor, creativity and long-term vision in the service of risk mastery. This shared commitment underpins SCOR’s role as a global reinsurer. By turning risk into resilience and sustainable value, our collective of experts acts with responsibility and purpose. Together, we help protect the future, and shape it, for our clients, for society and for generations to come.
