Quant Modeling Lead, VP

In this role, you'll have an opportunity to use your experience with econometric/statistical modeling, data manipulation, query efficiency techniques, reporting, and automation.

Portfolio Risk Modeling team support and develop regulatory model, execute, and prepare model surveillance along with providing insights for various regulatory requirements. This Role is specific for India Portfolio Risk Modeling team, focusing on Cards CCAR/CECL models. We are currently supporting Champion and owning Benchmark model estimations along with OPMs for all the Cards CCAR /CECL forecasting models. The candidate is critical for project management, timely enhancement and deliverables of benchmark model required for CCAR. The role requires understanding of complex Forecasting Models, prior CCAR knowledge, strong modeling, and analytical skills.

Additionally, you'll build a solid understanding of consumer businesses, functions, systems, data environments, and processes that are necessary for the production and utilization of data.

Responsibilities:

• Design, develop, test, and validate statistical models for Cards 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, etc.
• Efficiently design and produce programs to streamline and create repeatable procedures for model development, validation, and reporting
• Perform deep dive analysis to address ad hoc inquiries on model monitoring, CCAR exercise

Qualifications:

• The candidate is expected to have advanced degree (Master's or above) in a quantitative subject, such as Mathematics, Operations Research, Statistics, Economics or Finance and minimum of 9+ years of relevant analytics/modeling experience
• Proven managerial experience or demonstrated leadership abilities, with a track record of successfully leading and managing quantitative teams
• Proficiency in Python programming, with experience in the Python/Spark library and operating in CLOUD environment/ ecosystems
• Strong communication and presentation skills , with the ability to interface with other functional areas in the firm on model-related issues and write high quality technical reports

JPMorganChase, 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.