Staff Risk Analyst, Consumer Risk Analytics

What you'll do

• Maintain the organization's risk data dictionary, metadata, lineage, and governance standards across AWS and Google BigQuery.
• Design and operate scalable data architecture, marts, and pipelines to power AI agents and automated risk workflows.
• Integrate new data sources and features into the broader risk and AI infrastructure in partnership with product teams.
• Establish data quality processes including validation, reconciliation, and monitoring to ensure accuracy and consistency.
• Translate business requirements from stakeholders into efficient data models and ETL processes.
• Build data infrastructure specifically designed for AI applications, including vector stores and RAG pipelines.

What we're looking for

• Bachelor's degree in a quantitative field with at least 5 years of experience, or a master's degree with at least 3 years of relevant experience.
• Experience in data engineering, data architecture, or data warehousing is required.
• Advanced Python and distributed data-processing skills including Spark, Spark SQL, or Scala are required.
• Hands-on expertise in Databricks and Google BigQuery is required.
• Experience designing scalable data marts, warehouses, or lakes using dimensional modeling principles is required.
• Experience in financial services, FinTech, consumer risk, or risk-related KPIs (preferred).
• Experience building data infrastructure for AI/LLM applications, including vector stores or RAG pipelines (preferred).
• Familiarity with Snowflake, AWS S3, or other cloud data platforms (preferred).