The Loss Forecasting and Analytics team manages net credit loss forecasts for a portfolio exceeding $150 billion, focusing on retail portfolios, especially North American cards
Job Summary
The Loss Forecasting and Analytics team manages net credit loss forecasts for a portfolio exceeding $150 billion, focusing on retail portfolios, especially North American cards.
This role involves designing and maintaining complex credit loss forecasting models, performing in-depth statistical analyses, and delivering actionable insights to senior management and regulators.
The position requires driving efficiency improvements through automation, supporting regulatory reviews, and fostering cross-functional partnerships to ensure high-quality results in a dynamic environment.
Matching Summary
The Loss Forecasting and Analytics team manages net credit loss forecasts for a portfolio exceeding $150 billion, focusing on retail portfolios, especially North American cards.
Skills & Requirements
Must-have
credit loss forecasting models
quantitative statistical analysis
SAS, Python, and R proficiency
risk management frameworks
cross-functional stakeholder collaboration
financial and risk reporting
regulatory compliance and governance
Nice-to-have
project management skills
relationship management
automation using VBA and AI
presentation and communication skills
business acumen
teamwork and problem-solving
Key Requirements
10+ years experience in risk management
experience in cards/unsecured credit loss forecasting
Bachelor’s degree or equivalent experience
proficiency with credit source and reporting systems