Finance AI Analyst

Finance AI Analyst role focused on designing and deploying machine learning solutions for financial analytics. The position combines data engineering expertise with AI/ML techniques to build forecasting models, anomaly detection systems, and intelligent automation within Snowflake and the enterprise data warehouse.

Responsibilities

• Design, build, and maintain AI/ML models and pipelines for finance use cases including forecasting and anomaly detection
• Develop and optimize data models in Snowflake using Cortex or equivalent AI functions
• Debug complex data models across the enterprise data warehouse; trace lineage and validate transformations
• Partner with Finance teams to identify high-impact AI opportunities and deliver production solutions
• Establish best practices for model monitoring, versioning, and governance

Requirements

• 2+ years in data engineering, analytics engineering, or applied AI/ML roles
• Strong SQL and Snowflake proficiency (Snowpark, Cortex AI preferred)
• Experience building and deploying ML models using Python or equivalent
• Ability to debug end-to-end data flows and identify breakpoints in warehouse layers
• Familiarity with finance data domains (GL, AP, AR, fixed assets) or SAP Finance
• Bachelor's degree in finance, computer science, mathematics, information systems, or business
• Strong communication skills to explain AI concepts to non-technical stakeholders