Loss Forecasting Manager - Credit Card Business

About the job Loss Forecasting Manager - Credit Card Business

Job Title:
Loss Forecasting Manager - Credit Card Business

Job Summary: We are seeking an experienced Loss Forecasting Manager with 4-6 years of experience in Loss Forecasting and overall 8-10 years of overall experience to lead our Loss Forecasting team, focusing on the credit card business. The ideal candidate will have strong business knowledge, banking domain experience, and expertise in Vintage forecasting, CCAR models, Roll rate forecasting, and Delinquency forecasting.

This role requires leadership skills to manage clients, partners and inspire and elevate a team of analysts.

Key Responsibilities:

• Develop and maintain loss forecasting models for the credit card portfolio using statistical and machine learning techniques.
• Oversee the development and validation of CCAR models, including scenario analysis and stress testing, to ensure compliance with regulatory requirements.
• Conduct risk assessments and develop mitigation strategies incorporating PD (Probability of Default), LGD (Loss Given Default), and EAD (Exposure at Default).
• Utilize vintage analysis and roll rate models for forecasting delinquency and charge-off rates.
• Implement and refine delinquency forecasting models, including time series analysis and logistic regression.
• Collaborate with finance, underwriting, and collections teams to gather data and insights.
• Ensure compliance with regulatory standards, including CECL (Current Expected Credit Loss) and stress testing.
• Continuously improve forecasting models and processes, incorporating advancements in machine learning and AI.
• Analyze historical data to identify trends and prepare detailed reports using SQL, Excel, and BI tools (e.g., Tableau, Power BI).

Qualifications:

• Bachelor's or Master's degree in Finance, Statistics, Economics, Mathematics, or related field.
• 4-6 years of experience in loss forecasting, risk management, or related roles.
• Strong business knowledge and experience in the banking domain, specifically in the credit card business.
• Proficiency in statistical software and programming languages (SAS, R, Python).
• Experience with vintage forecasting, CCAR models, roll rate forecasting, and delinquency forecasting in the credit card industry.
• Strong analytical skills with experience in predictive modeling, scenario analysis, and sensitivity analysis.
• Excellent communication and presentation skills.
• Knowledge of regulatory requirements related to financial risk management in the credit card industry.

Skills and Competencies:

• Client Management and Partner Management
• Proven leadership and team management skills.
• Strong problem-solving skills and attention to detail.
• Ability to work independently and as part of a team.
• High level of integrity and professionalism.
• Strong organizational and time management skills.
• Ability to manage multiple projects and meet deadlines.