Quant Modeling Assoc, CCB Risk – Portfolio Risk Modeling India
Bengaluru, Karnataka, India
JPMorgan Chase & Co.
CCB-Risk- Portfolio Risk Modeling – Associate
JP Morgan Chase (NYSE: JPM) is a leading global financial services firm with operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at http://www.jpmorganchase.com/.
Our Firmwide Risk Function is focused on cultivating a stronger, unified culture that embraces a sense of personal accountability for developing the highest corporate standards in governance and controls across the firm. Business priorities are built around the need to strengthen and guard the firm from the many risks we face, financial rigor, risk discipline, fostering a transparent culture and doing the right thing in every situation. We are equally focused on nurturing talent, respecting the diverse experiences that our team of Risk professionals bring and embracing an inclusive environment.
Chase Consumer & Community Banking serves consumers and small businesses with a broad range of financial services, including personal banking, small business banking and lending, mortgages, credit cards, payments, auto finance and investment advice. Consumer & Community Banking Risk Management partners with each CCB sub-line of business to identify, assess, prioritize and remediate risk. Types of risk that occur in consumer businesses include fraud, reputation, operational, credit, market and regulatory, among others.
CCB-Risk Portfolio Risk Modeling – Associate
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 risk weight calculation, 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.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Computer Science Data analysis Economics Engineering Finance Industrial Mathematics ML models Python R Research SAS Statistical modeling Statistics
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