Finance Data Architect
Fa Errt Saasfaprod1 Open · verified Oct 24, 2026 At a glance
Mid-level Data Architecture & Governance role at Fa Errt Saasfaprod1. Paris · no salary stated · we estimate €49,750–€54,250 across France.
Fa Errt Saasfaprod1 has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Own the Finance data blueprint for reserving, closing, performance, investments, treasury and reporting
- Create shared definitions and standard structures for Finance, Actuarial, Risk and corporate domains
- Design analytical Finance models that preserve traceability and reconciliation across systems and processes
- Turn reinsurance and Finance needs into reusable structures that handle history, time, accounting views and regulation
- Set modeling and governance rules, then align engineers and architects on putting the target designs in place
What you bring
- At least five years in data architecture, information architecture, enterprise modeling or a related discipline
- Strong insurance or reinsurance experience, plus substantial knowledge of Finance and Actuarial data
- A record of designing conceptual and logical models adopted across more than one business function
- Experience setting shared data definitions, canonical structures and modeling standards
- A degree in computing, engineering, quantitative science or a related area, or equivalent experience
Who this fits
This role suits someone who can connect Finance and Actuarial processes with data design and communicate across business and technical teams. You'll work with senior Finance, Actuarial and Technology stakeholders.
From the employer
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
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