Finance AI Analyst

Job description

Job responsibilities

• Design, build, and maintain AI/ML models and pipelines that support finance analytics use cases (forecasting, anomaly detection, classification, NLP on financial documents).
• Develop and optimize data models in Snowflake, leveraging Cortex or equivalent tool AI functions.
• Debug and troubleshoot complex data models across the Enterprise Data Warehouse (EDW) stack — trace data lineage, validate transformations, and resolve discrepancies at the model layer.
• Partner with Finance stakeholders to identify high-impact AI opportunities and translate them into production-grade solutions.
• Evaluate and integrate emerging AI tools (LLMs, generative AI, vector search) into the analytics ecosystem.
• Establish best practices for model monitoring, versioning, and governance.

Job requirements

• 2+ years of experience in data engineering, analytics engineering, or applied AI/ML roles.
• Strong SQL proficiency; hands-on experience with Snowflake (Snowpark, Cortex AI, ML functions preferred).
• Experience building and deploying ML models (Python, or similar).
• Ability to debug end-to-end data flows in a Data Warehouse environment — identify breakpoints in staging, transformation, and presentation layers.
• Familiarity with finance data domains (GL, AP, AR, fixed assets, cost accounting) or SAP Finance.
• Experience with BI tools (Tableau preferred).
• Strong communication skills; ability to present AI concepts to non-technical finance stakeholders.
• Experience with LLM-based applications, RAG architectures, or Snowflake Cortex Agents.