Model/Analysis/Validation Senior Analyst

Citi • Schaumburg, IL

8d • Hybrid

About The Position

Citibank, N.A. seeks a Model/Analysis/Validation Senior Analyst for its Schaumburg, Illinois location. Duties: Design and implement machine learning models (XGBoost, LightGBM, Neural Networks) tailored for Citi Cards portfolios to improve credit decisions. Build algorithms that generate credit decline reasons based on model outputs. Develop frameworks for feature selections, capping/flooring logic and hyperparameter optimization to streamline modelling processes across teams. Experiment with statistical segmentation methods to group customers by risk profiles and behavioral patterns. Identify and engineer predictive variables that capture customer delinquency risk using automated feature importance techniques like LightGBM. Conduct data analysis using tools like Python, SAS, SQL and Spark to access model performance and identify risks. Create documentation for Model Risk Management (MRM), including rationale for model choices, adverse action logic, and model monitoring plans. Collaborate with Risk Policy and Governance teams to ensure models are integrated into decision strategies and meet compliance standards. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols.

Requirements

• Master’s degree, or foreign equivalent, in Information Technology and Management, Statistics, Mathematics, Data Science or related field and 3 years of experience as a Risk Policy Senior Analyst, Analyst-Data Services, Data Analyst or related position using quantitative and analytic skills to derive data patterns, trends, and insights.
• Alternatively, a Bachelor’s degree in the stated fields and 5 years of progressively responsible, post-baccalaureate experience.
• 3 years of experience must include: Data Analysis to identify risks; Data Mining; Using Python and SQL for data-driven analytics; Implementation of robust data quality checks and reconciliation processes across large-scale datasets to ensure accuracy and consistency; and Liaising with cross-functional business partners including business, into production deployment.

Responsibilities

• Design and implement machine learning models (XGBoost, LightGBM, Neural Networks) tailored for Citi Cards portfolios to improve credit decisions.
• Build algorithms that generate credit decline reasons based on model outputs.
• Develop frameworks for feature selections, capping/flooring logic and hyperparameter optimization to streamline modelling processes across teams.
• Experiment with statistical segmentation methods to group customers by risk profiles and behavioral patterns.
• Identify and engineer predictive variables that capture customer delinquency risk using automated feature importance techniques like LightGBM.
• Conduct data analysis using tools like Python, SAS, SQL and Spark to access model performance and identify risks.
• Create documentation for Model Risk Management (MRM), including rationale for model choices, adverse action logic, and model monitoring plans.
• Collaborate with Risk Policy and Governance teams to ensure models are integrated into decision strategies and meet compliance standards.

Benefits

• medical, dental & vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Senior