Quant Modelling Associate

Job Description
In this role, you'll have an opportunity to use your experience with econometric/statistical modeling, data manipulation, query efficiency techniques, reporting, and automation.
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:
This role is a member of the Portfolio Risk Modeling team, expected to support critical statistical development projects and related analysis. The incumbent candidate will have the following roles and responsibilities.
• Design, develop, test, and validate statistical models for Home 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, etc.
• Efficiently design and produce programs to streamline and create repeatable procedures for model development, validation, and reporting.
• Proactively communicate and collaborate with line of business partners and model end-users to analyze and meet analysis and reporting needs.
Qualifications:
• 3+ years' statistical modeling experience in the financial services industry; Knowledge of regulatory modeling (IFRS9 / CECL / CCAR / Basel) preferred.
• Proficiency in advanced analytical languages such as SAS (Preferred), R, Python.
• A Master's or Ph.D. Degree in a technical or quantitative field such as Statistics, Economics, Finance, Mathematics, Computer Science, Engineering, or Information Technology.
• Strong analytical and problem-solving skills
• Strong organization and time management skills. Must have the ability to deliver high-quality results under tight deadlines.
• Strong multi-tasking skills with demonstrated ability to manage expectations and deliver results.
• Strong communication skills.
About Us
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.
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.