Quantitative Model Validation Analyst Jobs in Tennessee

Who You'll Work With:

The Investment Technology team is seeking a Nashville, TN based Snowflake Data Modeler to design and govern the analytical data foundations supporting our investment processes. You will focus on building highquality Snowflake data models and semantic layers that power reporting, analytics, and AIenabled insights across portfolio management, risk, and research. This role is ideal for someone who excels at data modeling, understands analytics consumption, and enjoys working closely with investment professionals in a highly analytical environment.

This role partners closely with data engineers, architects, and investment stakeholders but is primarily focused on modeling and consumption, not pipeline engineering.

What You'll Do:

You will serve as a Snowflakefocused data modeler, responsible for designing, evolving, and governing data models that power investment analytics, reporting, and downstream applications. The role emphasizes dimensional and domain modeling, semantic layer design, and data quality, enabling research analysts, portfolio managers, risk teams, and quantitative users to access clean, wellstructured data.

• Design and maintain dimensional, domainoriented, and analyticsoptimized data models in Snowflake.

• Develop fact and dimension models supporting portfolio management, risk, attribution, research, and performance analytics.

• Optimize Snowflake schemas for performance, scalability, and ease of consumption.

• Build and maintain semantic layers and curated views that abstract underlying complexity for BI and analytics tools.

• Ensure Snowflake models align with Power BI datasets, metrics, hierarchies, and business definitions.

• Partner with analytics teams to enable consistent metric definitions and reusable analytical patterns.

• Define and implement data quality rules, validation checks, and reconciliation logic within modeled datasets.

• Collaborate with data governance teams to document data definitions, lineage, and usage standards.

• Support controlled access patterns, rolebased views, and governed data exposure.

• Build strong understanding of key investment data domains including reference data, pricing, terms & conditions, indices, risk inputs, and derived analytics.

• Model data in ways that reflect how investment teams consume and analyze information.

• Ensure that data relationships and grain are clearly defined and analytically sound.

• Design Snowflake models that are AIready, with consistent schemas, clear relationships, and rich metadata.

• Support semantic consistency to enable naturallanguage querying and AIdriven analytics.

• Partner with architecture teams on Snowflakebased semantic and knowledge layers that support GenAI use cases.

• Work closely with data engineers to ensure pipelines land data in structures optimized for modeling.

• Partner with investment teams to translate analytical requirements into robust data models.

• Contribute to modeling standards, best practices, and reusable design patterns across the organization.

What We're Looking For:

• Strong expertise in Snowflake data modeling for analytics and reporting use cases.

• Advanced SQL skills for modeling, transformation, and performance optimization in Snowflake.

• Deep experience with dimensional modeling, star/snowflake schemas, and domaindriven design.

• Experience designing data models to support Power BI, including semantic alignment and metric consistency.

• Familiarity with BI consumption patterns and performance considerations.

• Experience implementing data validation, reconciliation, and quality frameworks.

• Working knowledge of metadata, lineage, and governance concepts (e.g., Purview or similar tools).

• Understanding of how wellstructured models support AI, search, and naturallanguage analytics.

• Familiarity with semantic layers, business glossaries, and model discoverability.

• Experience or strong interest in investment data domains (fixed income, equities, multiasset preferred).

• Strong analytical thinking and attention to detail.

• Ability to communicate modeling concepts clearly to both technical and investment audiences.

• Collaborative mindset and comfort working across engineering, analytics, and business teams.

About AB

We are a leading global investment management firm offering high-quality research and diversified investment services to institutional clients, retail investors, and private-wealth clients in major markets around the globe. With over4,000employees across57locations operating in26countries and jurisdictions, our ambition is simple: to be the most trusted investment firm in the world. We realize that it's our people who give us a competitive advantage and drive success in the market, and our goal is to create an inclusive culture that rewards hard work.

Our culture of intellectual curiosity and collaboration creates an environment where you can thrive and do your best work. Whether you're producing thought-provoking research, identifying compelling investment opportunities, infusing new technologies into our business or providing thoughtful advice to our clients, we are fully invested in you. If you're ready to challenge your limits and empower your career, join us!