AI Scientist — Credit Risk & Agentic AI

About the role

This role is ideal for someone who combines credit-risk analytics, applied machine learning, LLM reasoning, evaluation design, and business judgment. This is not a generic prompt-engineering role. The selected candidate will help design, test, evaluate, and improve AI agents that analyze credit and underwriting data in a controlled, evidence-cited, human-in-the-loop environment.

What you'll do

• Design AI reasoning frameworks for credit-risk and underwriting use cases
• Translate underwriting judgment into structured, testable, and auditable AI workflows
• Work on bureau/tradeline analysis, borrower-risk signals, shadow debt patterns, data-integrity flags, and score reconciliation
• Design prompts, reasoning flows, evaluation criteria, and structured outputs for LLM-based underwriting agents
• Define evaluation frameworks for underwriter alignment, incremental signal, hallucination risk, data-integrity detection, and decision quality

What you need

• 5–9 yrs of experience
• Credit risk
• Machine learning
• SQL
• Python
• LLMs
• Statistics
• Any graduate

Good to have

• AWS
• Underwriting
• Reconciliation
• Prompt engineering