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The Loss Forecasting and Analytics team is a critical group responsible for calculating and managing the net credit loss forecast for a portfolio exceeding $150BN. This team collaborates closely with Finance teams to develop robust credit loss forecasts under various macro-economic and business conditions, with a primary focus on retail portfolios, particularly North American cards. A significant aspect of the role involves contributing to Comprehensive Capital Analysis & Review (CCAR/DFAST) efforts. We are seeking an individual with a strong work ethic, exceptional teamwork, quantitative, and problem-solving skills, capable of leveraging both technical and business acumen to deliver high-quality results in a dynamic environment.
Job Responsibility
Lead and execute risk financial loss forecasting efforts, including the design, development, and maintenance of complex credit loss and financial risk forecasting models for consumer credit products (e.g., Cards, Personal Installment Loans)
Conduct in-depth statistical quantitative analysis of cost of credit and delinquency trends, monitoring product trends to identify key areas of risk and opportunity within product portfolios
Analyze underlying model outputs against business expectations, ensuring models provide rational, logical, and accurate predictions
Identify, track, and report on initiatives, performance results, and emerging trends to senior management, providing actionable insights
Reconcile detailed financial data from disparate sources across covered portfolios, ensuring accuracy for presentations and memos prepared for regulators, business leaders, and external auditors
Provide strategic analytics and information management across Citibank products, ensuring data quality and control standards are maintained
Establish and nurture cross-functional partnerships and networks to support effective loss forecast execution
Prepare and deliver compelling presentations with supportive analysis, storyboarding results, and leading discussions with senior management, Finance, Independent Risk, and audit teams as part of business review and effective challenge processes
Assist with regulatory reviews and ensure best-in-class governance and documentation practices for these functions
Identify opportunities for improvement in Business-as-Usual (BAU) processes and drive efficiency through simplification and automation using tools such as VBA, SAS, Python, AI, and other relevant technologies
Act as an assistant project manager, collaborating with business users to gather requirements, draft, and coordinate approval for Business Requirement Documents (BRDs)
Proactively assess and manage risks, ensuring compliance with applicable laws, rules, and regulations, adhering to Citi Policy, and upholding sound ethical judgment
Requirements
10+ years of experience in product program governance and risk management frameworks, with a strong preference for experience in cards/unsecured credit space and in loss forecasting and credit analysis
Strong analytical and quantitative statistical skills to identify, assess, and monitor consumer portfolio credit risks
Proficiency with SAS, Python, and R for extracting data from large datasets and performing statistical analysis
Thorough knowledge of credit source systems, collateral reporting systems, and end reporting/warehousing
Good knowledge of Citi products, risk processes, and controls with a solid understanding of regulatory requirements and risk management frameworks
Project management knowledge and experience working with diverse stakeholders to achieve milestones and deadlines, with the capability to manage multiple projects concurrently
Proven relationship management skills, with the ability to deepen relationships and build partnerships across the business, executive leadership, and key functional support areas (e.g., Government Affairs, Communications, Legal, Compliance, Control, in-business Risk, and Independent Risk)
Excellent proficiency in Microsoft Office Suite, particularly Excel (for metrics and data analysis), PowerPoint (for presentation decks), and Word (for procedural and technical documentation)
Demonstrated financial and risk reporting knowledge and experience from business and/or technical areas
Broad understanding of classifiable and delinquency managed credit and operational policies and procedures
Experience in compiling process and data quality metrics, analyzing results, and clearly communicating data-driven insights to senior management
Bachelor’s/University degree or equivalent experience, potentially Master's degree