Financial Data Architect

We are seeking a Financial Data Architect to design and govern the core financial data model that powers our analytics, AI, quantitative research, and market intelligence systems.

This role will be responsible for creating a unified framework that connects market data, fundamentals, macroeconomic indicators, corporate actions, alternative data, and security reference data into a single institutional-grade architecture. Responsibilities

• Design and maintain Q One's enterprise financial data architecture.
• Build and govern the security master framework.
• Develop data models for:
• Equities
• Futures
• Options
• Fixed Income
• FX
• Commodities
• Cryptocurrencies
• Create entity relationship models for issuers, securities, exchanges, and instruments.
• Design corporate actions processing architecture.
• Build symbol mapping and instrument normalization frameworks.
• Establish data governance, lineage, metadata, and quality standards.
• Define financial data taxonomies and classifications.
• Partner with data engineering, AI, and quantitative teams to ensure consistent data definitions across the organization.
• Ensure data structures support both real-time and historical analytics.

Must-Have QualificationsFinancial Markets Expertise Strong understanding of:

• Equities
• Futures
• Options
• Fixed Income
• Foreign Exchange
• Market Structure
• Security Master Design
• Corporate Actions, * Refinitiv / LSEG
• S&P Global
• ICE Data Services

Strongly Preferred Previous experience at:

• Bloomberg
• FactSet
• Refinitiv / LSEG
• S&P Global
• Morningstar
• Nasdaq
• CME Group
• BlackRock
• State Street
• Goldman Sachs, * Design Q One's enterprise financial data model.
• Implement security master architecture.
• Define instrument and entity classification standards.
• Establish data governance and quality controls.

First 12 Months

• Build a unified financial intelligence framework.
• Standardize all financial datasets across the platform.
• Create scalable data structures supporting AI, quantitative research, and institutional analytics.
• Serve as the foundation for every investment intelligence product developed by Q One.

• Enterprise Data Models
• Financial Data Warehouses
• Data Governance Frameworks
• Metadata Management Systems
• Data Lineage Architecture

Data Platforms Strong experience with:

• Snowflake
• PostgreSQL
• SQL Server
• ClickHouse
• Databricks

Technical Skills

• Advanced SQL
• Python
• Data Modeling
• ETL/ELT Architecture
• API Integration
• Data Quality Management

Financial Data Vendors Experience with one or more:

• Bloomberg, You understand financial data at a structural level. You know how securities, issuers, exchanges, corporate actions, and market events connect together and can design architectures that transform fragmented information into a single source of truth for investors, researchers, and AI systems.