Staff Risk Analyst (AI)

Location: Mountain View, California or New York, New York, United States

Salary: $176,500–$238,500 base pay annually in Mountain View

Company

hirify.global is a financial technology platform serving consumers, small businesses, and self-employed customers through TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

• Own the risk data dictionary, metadata, data lineage, and governance standards across AWS and Google BigQuery.
• Design and operate scalable data architecture, data marts, and pipelines for consumer risk analytics, AI agents, and automated risk workflows.
• Partner with AI architecture, product, and technology teams to integrate data sources and data-layer components.
• Establish validation, reconciliation, and monitoring processes to improve data quality and accessibility.
• Translate requirements from data scientists, analysts, and business stakeholders into data models and ETL processes.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or another quantitative field with at least 5 years of relevant experience, or a related master’s degree with at least 3 years of relevant experience.
• Experience in data engineering, data architecture, or data warehousing, including scalable data marts, warehouses, or lakes.
• Advanced Python and distributed data-processing skills with Spark, Spark SQL, or Scala.
• Hands-on experience with Databricks and Google BigQuery, plus sound data-modeling and dimensional-modeling principles.
• Strong communication, analytical, organizational, collaboration, and stakeholder-management skills.

Nice to have

• Experience in financial services, fintech, consumer risk, or risk-related KPIs and OKRs.
• Experience building data infrastructure for AI and LLM applications, including agent-ready schema documentation, vector stores, or RAG pipelines.
• Familiarity with Snowflake, AWS S3, or other cloud data platforms.

Culture & Benefits

• Competitive compensation with performance-based rewards.
• Potential eligibility for cash bonus, equity rewards, and employee benefits.
• Work involves collaboration across Fraud & Risk Policy, Credit Risk, Operations, Data Science, and Product.