01Overview
About the Organisation Scry AI is a research-led enterprise AI company that builds intelligent platforms for BFSI, insurance, logistics, and industrial enterprises to drive efficiency, insight, and compliance. Its product suite includes Auriga for conversational AI, Collatio for document intelligence, and Concentio for cognitive IoT and operational intelligence. These platforms help clients convert complex and fragmented data into actionable enterprise intelligence. About the Job: Scry AI is hiring a Credit Manager (SME) with experience in credit risk, lending analytics, or financial modeling roles to join their team in a remote setup. This role focuses on applying domain expertise in credit risk to support the development of AI-driven credit models and algorithms. The candidate will work closely with data science, product, and engineering teams to design, refine, and validate credit risk models while ensuring alignment with real-world lending practices and regulatory requirements. Eligibility Strong experience in credit risk, underwriting, and financial analysis. Experience working with credit scoring models or risk analytics frameworks. Understanding of data-driven modeling, machine learning concepts, or analytics workflows. Ability to translate business requirements into model features and logic. Strong analytical and problem-solving skills. Role and Responsibilities Act as a subject matter expert in credit risk to support the development of AI models and scoring algorithms. Define key risk variables, features, and decisioning frameworks for credit models. Collaborate with data science teams to train, validate, and refine credit algorithms. Analyze financial, behavioral, and transactional data to identify risk patterns. Provide domain inputs for model feature engineering and performance tuning. Validate model outputs to ensure accuracy, fairness, and reliability. Work with product and engineering teams to embed credit models into AI platforms. Translate lending workflows into scalable and automated decisioning systems. Support the development of credit scoring, underwriting automation, and risk analytics tools. Monitor model performance and credit portfolio trends. Recommend improvements to risk strategies and decision frameworks. Ensure models align with business goals and risk appetite. Ensure models adhere to regulatory requirements and risk governance standards. Support model validation, documentation, and audit processes. Address bias, explainability, and fairness considerations in AI-driven credit systems. Collaborate with risk, lending, product, and data science teams. Provide domain expertise during client discussions, solutioning, and implementations. Act as a bridge between business, risk, and technology teams. We are solely providing this information for dissemination and wish to clarify that we are not affiliated with the organization. .
