FAQs
What is the primary focus of the Card Credit Forecasting Associate role?
The primary focus is to execute credit risk loss forecasting models, diagnose model accuracy, and lead advanced analyses to assess relationships and patterns that impact loss performance within the Consumer Credit Forecasting team.
What qualifications are required for this position?
A Bachelor's or Master's Degree in a quantitative discipline (such as Finance, Stats, Econ, Math, or Engineering) is required, along with a minimum of 6 years of experience in credit risk analytics, loss forecasting, statistical modeling, model execution, or consulting.
What programming languages should candidates be proficient in?
Candidates should be proficient in programming languages such as Python, SAS, and SQL.
Is experience in regulatory modeling preferred for this role?
Yes, knowledge of regulatory modeling such as IFRS9, CECL, and CCAR is preferred.
What types of analyses will I be expected to conduct in this role?
You will be expected to conduct macro sensitivity analytics, loss and allowance attribution, deep dives, story-boarding, and lead advanced analyses to assess the drivers of loss performance.
Will I work independently or as part of a team?
You will be part of a core forecasting team but will also work on multiple projects with limited guidance.
What tools will I use in this position?
You will use Excel/VBA for process automation and may use programming languages like Python and SAS for analyses.
Are there opportunities for career development in this position?
Yes, this position offers an exciting opportunity to contribute to the team's success and develop skills in a fast-paced environment.
What kind of communication is involved in this role?
The role involves cross-functional communication with Risk Management, Finance, Marketing, and Collections to inform forecasts and incorporate strategic initiatives.
Does the company provide equal opportunity employment?
Yes, JPMorgan Chase is an equal opportunity employer and values diversity and inclusion in the workplace.