Full-timeEstimated: $93,000 - $130,000 a year
- Regression Analysis
- Master's Degree
- Doctoral Degree
Full Job Description
J.P. Morgan is a leading global financial services firm with assets of $2.1 trillion and operations in more than 60 countries. The firm is a leader in investment banking, financial services for consumers, small business and commercial banking, financial transaction processing, asset management and private equity. Information about J.P. Morgan is available at http://www.jpmorganchase.com/.
We are looking for a candidate with strong statistical and/or economic modeling background to work in the regulatory and economical domain. The candidate would be mainly responsible for developing and implementing models in areas related to Wholesale credit capital requirements and macroeconomic simulation mode. Also participate in all aspects of quantitative activities ranging from model research and prototyping to business support.
Minimum education required: Ph.D. degree or equivalent in Statistics, Economics, Engineering, Operational Research or related quantitative field preferred; Master degree if with at least 2 years of relevant working experience.
Minimum experience required: Financial and/or economical modeling experience preferred.
Minimal skills required:
Quantitative modeling experience specifically in the credit and/or market risk area for regulatory or economical capital
Strong data analysis and statistical modeling experience, such as factor models, copula, regression models
Ability to work with large financial data, statistical data (especially time series) analysis
Strong programming skills (Python, R, etc)
And certain combinations of the following will be strong plus:
Numerical algorithms (root finding, optimization, etc)
Experience in wholesale risk models, regulatory frameworks, risk analytics
Experience with large-scale Monte Carlo simulation and High Performance computing (multi-core, MPI, grid)
The ability and motivation to take initiative and solve problems independently
The ability to handle multiple initiatives/projects/work streams simultaneously