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Chase · 1 month ago

Card Loss Forecasting - Vice President

1111 Polaris Pkwy, Columbus, OH, 43240, US

Full-time

Onsite

Mid, Senior Level

7+ years exp

JPMorgan Chase & Co. is a global leader in financial services, offering a wide range of financial services. The Card Loss Forecasting team is responsible for managing credit card portfolio health and risk assessment, including forecasts of credit card delinquencies and charge-offs.

BankingFinancial Services

Responsibilities

Produce the credit card loss forecast for bank-wide budget, including forecasts for several discrete segments including policy losses, bankruptcy, deceased and recoveries and reversals

Build out, analyze and modify origination vintage and product level forecasts

Analyze and understand loss forecasting quantitative model output

Work with Finance, Modeling, and Risk Strategy teams to understand changes in the portfolio, model, or strategies and apply adjustments as needed

Create and deliver presentations and other summarizations for Executive Leadership

Create and run sensitivity scenarios based on economic conditions and management direction

Complete ah hoc analysis

Monitor and present delinquency and loss forecasts to key line of business partners

Create and validate regulatory reporting

Provide insight for senior management via regular risk deep dives

Demonstrate initiative and the ability to work on multiple projects with limited guidance, while mentoring and coaching junior analysts to develop their risk management skills and finance knowledge

Qualification

Credit risk managementLoss forecastingStatistical modelingPythonSASSQLAdvanced ExcelPowerPointAnalytical skillsProblem solvingCommunication skillsPresentation skills

Required

A Bachelor's or Master's Degree in a quantitative discipline (Finance, Accounting, Business, Stats, Economics, Math, Engineering) or equivalent work/training

Minimum 5 years of credit risk management, loss forecasting, statistical modeling, model execution and/or consulting experience

Minimum 7 years of related analytical experience

Proficiency in Microsoft Office suite of products (Advanced Excel, and PowerPoint)

Strong analytical, interpretive, and problem solving skills with the ability to interpret large amounts of data and its impact in both operational and financial areas

Excellent oral and written communication and presentation skills

Preferred

Credit risk experience in one or more US consumer credit portfolios (i.e. U.S. Mortgage, Credit Card, Automotive, Business Banking, Wealth Management, Private Banking)

Strong knowledge of Python, SAS, SQL