Portfolio Risk - Cards CCAR Model Development Associate

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.
 

As a Portfolio Risk - Cards CCAR Model Development Associate within the Portfolio Risk Modeling team, you will have the opportunity to support and develop regulatory models, execute and prepare model surveillance, and provide insights for various regulatory requirements. You will use your expertise in performance assessment methods and metrics for various types of risk models used in portfolio Risk, regulatory modeling, and forecasting methods. You will be responsible for the development of stress test models as part of the annual CCAR/CECL exercise. This role will allow you to utilize your experience with econometric/statistical modeling, data manipulation, query efficiency techniques, reporting, and automation. We value intellectual curiosity and a passion for promoting solutions across organizational boundaries.

Job Responsibilities:

• Design, develop, test, and validate statistical models for ‘Cards’ Unsecured Lending portfolio risk forecast and model performance monitoring
• Utilizing graduate-level research and analytical skills to perform data extraction, sampling, and statistical analyses using logistic regression, multinomial regression, multivariate analysis, discriminant analysis, time series analysis, panel data analysis, Survival Hazard Rate Models etc.
• Efficiently design and produce programs to streamline and create repeatable procedures for model development, validation, and reporting
• Process, cleanse, and verify the integrity of data used for analysis
• Perform deep dive analysis to address ad hoc inquiries

Required qualifications, capabilities, and skills

• MS, Engineering or PhD degree in a quantitative discipline
• Minimum 3+ years of hands-on work and research experience of advanced analytical skills in the areas of statistical modeling and data mining
• Proficiency in advanced analytical languages such as SAS, R, Python, PySpark
• Experience utilizing SQL in a relational database environment such as DB2, Oracle, or Teradata
• Ability to deliver high-quality results under tight deadlines
• Strong multi-tasking skills with demonstrated ability to manage expectations and deliver results

Preferred qualifications, capabilities, and skills

• Knowledge of regulatory modeling (IFRS9/CECL/CCAR preferred)

JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.