Finance AI Analyst
Core
Design and deploy AI/ML-driven analytics solutions within the Finance franchise, translating business requirements into intelligent, automated insights for financial data.
Role type
Applied AI/ML engineer (finance analytics)
Builds
Production-grade AI/ML models and pipelines for finance use cases (forecasting, anomaly detection, classification, NLP on financial documents)
Domain
Finance + Data Engineering + Applied AI/ML
Deliverable
production ML models
Required skills
Data engineering, SQL, Snowflake (Snowpark, Cortex AI), Python, ML model development, Data Warehouse debugging, Finance data domains (GL, AP, AR, fixed assets, cost accounting), BI tools (Tableau)
Preferred skills
LLM-based applications, RAG architectures, Snowflake Cortex Agents, Finance portfolio management/FP&A/treasury analytics, SDLC and CI/CD for data/ML pipelines
Technologies
Snowflake, Snowpark, Cortex AI, Python, Tableau, EDW stack
Responsibilities
Design, build, and maintain AI/ML models and pipelines; Develop and optimize data models in Snowflake; Debug and troubleshoot complex data models across the EDW stack; Partner with Finance stakeholders to identify high-impact AI opportunities; Evaluate and integrate emerging AI tools (LLMs, generative AI, vector search); Establish best practices for model monitoring, versioning, and governance
Seniority
Mid-level, hands-on IC