Wholesale Credit Quantitative Research Analyst
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Job Location:
Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
As a Quantitative Research Wholesale Credit Risk Modeling Analyst within the Wholesale Credit team you will design analyze and deliver quantitative models to support the firms Wholesale Credit Stress (CCAR ICAAP Risk Appetite) and loan loss reserves models. You will use statistical techniques & tools for building forecasting models. This role will provide you with the opportunity to work with other experienced Wholesale Credit Quantitative Researchers and business partners enhancing your quantitative as well as business skills.
Job Responsibilities
- Work as a quantitative researcher to design and develop PPNR forecasting models for regulatory purposes.
Minimum Skills Experience and Qualifications
If you meet the minimum requirements below you are encouraged to apply to be considered for this role.
- You have a degree in Engineering Financial Engineering Computer Science Mathematics Sciences Statistics Econometrics or other quantitative fields
- You have a strong background in the following topics Calculus Linear Algebra Probability and Statistics
- You have solid theoretical and practical knowledge of statistical methods and models: generalized linear models time-series analysis clustering decision trees logistic regression.
- You are experienced in handling large amount of panel data and data cleaning/filtering.
- You demonstrate proficiency in at least one of the object-oriented programming languages and are good at one of Python or R
- Ability to solve problems creatively while working in a dynamic environment. Eagerness to learn about Credit Risk Risk Parameters Regulatory and Accounting concepts
- 1-3 years of relevant experience would be preferred.
Additional Skills Experience and Qualifications
The following additional items would be a plus but not a mandatory requirement.
- Knowledge of Wholesale Credit products and experience in development of loss/PPNR forecasting models for regulatory exercises
- Knowledge of different types of financial products and asset classes options pricing theory financial regulations machine learning or high-performance computing would be a plus
- Proven ability to develop collaborative relationships with key internal partners to achieve objectives and prioritizations
Beyond that we are interested in the things that make you unique: personal qualities outside interests and achievements beyond academia and professions that demonstrate the kind of person you are and the value you could bring to the team.
Required Experience:
IC
Key Skills
- Financial Statement Preparation
- Credit Analysis
- Cash Flow Analysis
- Math
- Banking
- Analysis Skills
- UCC Law
- Underwriting
- Financial Analysis
- Financial Modeling
- Financial Report Interpretation
- Word Processing
About Company
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 ov ... View more
