StratLytics is hiring an AI Scientist — Credit Risk & Agentic AI for our Bhubaneswar office to work on a high-impact AI underwriting initiative for a North American fintech client.

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 setting.

Key responsibilities include:
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.
Compare AI outputs against historical underwriter decisions, credit scores, model outputs, and repayment/loss outcomes.
Partner with AI engineers, data engineers, credit-risk experts, and platform teams to build governed AI underwriting solutions.
Participate in internal and client-facing discussions with senior stakeholders.

Requirements
Required:
5+ years of experience in data science, credit-risk analytics, underwriting analytics, risk modeling, or applied machine learning.
Solid understanding of credit-risk concepts such as bureau data, credit scores, scorecards, delinquency, utilization, inquiries, tradelines, repayment behavior, loss/default outcomes, and underwriting policy.
Robust Python and SQL skills.
Experience with statistical modeling, machine learning, model validation, or analytical backtesting.
Familiari

📌 Ai Scientist — Credit Risk Bhubaneswar
🏢 StratLytics
📍 Bhubaneswar