Identify high-impact opportunities to improve credit risk workflows using AI across underwriting, portfolio monitoring, policy interpretation, and collections
Design and deploy internal AI copilots that help analysts draft credit memos, summarize merchant performance, and interpret key risk signals
Build tools that automatically generate risk narratives, portfolio commentary, and merchant-level performance summaries
Partner with Engineering, Data Science, and Product to implement AI-powered tools using structured data, internal APIs, and secure LLM platforms
Develop prompt frameworks and workflows that combine deterministic risk metrics with AI-generated insights while maintaining explainability and human oversight
Conduct portfolio analyses to identify merchant performance trends and emerging risk signals
Redesign risk processes to reduce manual work, automate recurring analysis, and increase analyst productivity
Collaborate with Credit Risk, Compliance, Engineering and Operations to responsibly deploy and scale AI-enabled workflows

5+ years of experience applying analytics, automation, or AI to improve risk or operational workflows in fintech, financial services, or technology
Experience applying AI or LLM tools to improve analytical workflows, operational processes, or decision support
Strong analytical skills with the ability to translate portfolio or transactional data into actionable insights
Advanced proficiency in SQL and Python; experience building dashboards or automated analytics solutions (Looker/Tableau/Hex or similar)
Familiarity with prompt design, AI-assisted workflows, or automation frameworks integrating structured data with LLM outputs
Strong communication skills and ability to influence cross-functional stakeholders across Risk, Engineering, Data Science, and Product.

Credit Risk Analytics Lead

Key skills