Finance AI Analyst
Core
Design and deploy AI/ML-driven analytics solutions for finance use cases including forecasting, anomaly detection, and NLP on financial documents.
Role type
Applied AI/ML engineer (finance analytics)
Builds
Production-grade AI/ML models and pipelines for financial data
Domain
Finance + Data Engineering + Machine Learning
Deliverable
production ML models
Required skills
SQL, Snowflake (Snowpark, Cortex AI), Python, ML model deployment, data lineage debugging, finance data domains (GL, AP, AR), BI tools
Preferred skills
LLM-based applications, RAG architectures, Snowflake Cortex Agents, FP&A, treasury analytics, CI/CD for data/ML pipelines
Technologies
Snowflake, Snowpark, Cortex AI, Python, Tableau, EDW stack
Responsibilities
Design and maintain AI/ML models and pipelines for finance analytics; Develop and optimize data models in Snowflake; Debug and troubleshoot complex data models across the EDW stack; Partner with Finance stakeholders to identify AI opportunities; Evaluate and integrate emerging AI tools (LLMs, generative AI, vector search); Establish best practices for model monitoring, versioning, and governance