This is not a traditional technical modeling role. We are looking for a professional who understands how Finance and Actuarial processes operate within a reinsurance company and can translate that understanding into a scalable, governed, and business-aligned data architecture and data models.
You will work at the intersection of Finance, Actuarial, Data, and Technology teams to define the future-state Finance data model and establish the semantic foundation that supports enterprise-wide decision making.
ResponsibilitiesKey duties and responsibilities
Your mission will be to:
Design and own the enterprise Finance data architecture and data model supporting Reserving, Closing, Performance Management, Investments, Treasury, and Financial Reporting.
Define and evolve conceptual, logical data models within SCOR's Data Foundation.
Establish common business definitions, semantics, and canonical data structures across Finance, Actuarial, Risk, and Corporate functions.
Lead the design of the Finance Analytical Data Model, ensuring consistency, traceability, reconciliation capability, and alignment across source systems and business processes.
Work closely with Finance, Actuarial, and Business stakeholders to translate complex reinsurance and finance requirements into scalable and reusable data structures.
Ensure appropriate handling of granularity, historical tracking, time dimensions, accounting perspectives, and regulatory requirements.
Drive alignment between operational data, analytical data products, reporting requirements, and AI-enabled use cases.
Define standards and best practices for Finance data architecture, information modeling, metadata management, and data governance.
Support enterprise initiatives related to IFRS 17, Solvency II, Technical Closing, Reserving, Planning, Forecasting, and Performance analytics.
Partner with Data Engineers, Solution Architects, and Domain Leads to ensure consistent implementation of target-state data models across the Finance ecosystem.
Required experience & competencies
5+ years of experience in Data Architecture, Information Architecture, Enterprise Data Modeling, or related disciplines.
Strong experience within the insurance or reinsurance industry.
Deep understanding of Finance and Actuarial data domains, including several of the following: IFRS 17, Solvency II, Technical Closing, Reserving, Financial Planning & Analysis, Performance Management, General Ledger, Accounting structures, Reinsurance contracts and treaty data
Proven experience designing enterprise-scale conceptual and logical data models used across multiple business functions.
Experience defining canonical data models, business semantics, and data standards.
Strong understanding of Finance data lineage, reconciliation, controls, and data quality requirements.
Ability to engage effectively with senior Finance, Actuarial, and Technology stakeholders.
Excellent communication skills with the ability to bridge business and technical domains.
Required Education
- Degree 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.
