ROLE
– Analyze and generate insights for Regulatory Risk Models
– Quantify and articulate the business impact of model performance trends
– Provide clear, data-driven explanations that support decision-making by senior stakeholders
– Communicate results to diverse audiences
– Present model performance to sponsors, developers and other senior stakeholders
– Prepare and deliver comprehensive write-ups for Ongoing Monitoring Reports and Annual Model Review documentation
– Work effectively across cross-functional teams
– Support internal & external audits, and regulatory reviews
– Conduct robust QC on model inputs, outputs, and monitoring datasets
– Leverage Gen AI to establish consistent and scalable processes
– Champion the responsible deployment of Gen AI
– Work as an individual contributor in model monitoring techniques, analytical deep dives, and AI-enabled insight generation

REQUIREMENTS
– Strong programming skills in SAS, SQL, Python
– Experience with Tableau/Excel for performance reporting
– Understanding of modeling techniques such as linear/logistic regression, machine learning techniques, segmentation, decision trees, survival models, time series analysis, etc
– Experience in applying analytical and statistical methods to explain performance variation and derive actionable insights
– Excellent written and verbal communication skills
– Experience in developing optimal or automated reporting solutions using SAS, Python, SQL, Excel VBA, Tableau and GenAI tools
– 2+ years of experience in model monitoring, model development or validation, quantitative analytics, or related risk disciplines
– Analytical Thinking, Business Acumen, Constructive Debate, Data Analysis, Escalation Management, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, Statistics