Finance Data Architect

SCOR; Paris; Sur place; EUR 90 000 - 130 000; Plein temps

Résumé du poste

SCOR in Paris seeks a Finance Data Architect to design enterprise data models for Finance, Actuarial and Risk, ensuring governance and scalability across the organization.

You will translate complex reinsurance and finance requirements into scalable data structures, collaborating with Finance, Actuarial, and Technology teams to support reporting, Reserving, Closing, and analytics, including AI-ready capabilities.

Qualifications

• 5+ years of experience in Data Architecture or related disciplines.
• Strong experience within the insurance or reinsurance industry.
• Deep understanding of Finance and Actuarial data domains, including IFRS 17, Solvency II, Technical Closing, Reserving, Financial Planning & Analysis, Performance Management, General Ledger, Accounting structures, Reinsurance contracts and treaty data.

Responsabilités

• 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.

Connaissances

Data Architecture

Information Architecture

Enterprise Data Modeling

Insurance industry

IFRS 17

Solvency II

Stakeholder engagement

Communication

Formation

Degree in computer or data science, software or computer engineering, applied math, physics, statistics, or a related field or equivalent experience

Description du poste

At SCOR, we combine the Art and Science of Risk to build more resilient societies. Data is a critical asset in how Finance, Actuarial, and Risk teams operate. As part of our Finance Data Foundation journey, we are building a unified and governed Finance Data Model that will serve as the foundation for reporting, reserving, closing, performance management, analytics, and future AI-driven capabilities.
We are seeking a Finance Data Architect with deep expertise in reinsurance or insurance finance data to join our Tech, Data & AI organization.

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.

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.

Key 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