Quantitative Analyst (State Street Bank and Trust Company; Boston, Massachusetts ): will provide quantitative support to State Street's efforts to advance the quantification of credit risk such as Probability of Default, Loss Given Default, Exposure and Default etc. The incumbent is expected to also provide analytics services to different business units across the corporation. In addition, the incumbent may also work on non-financial risk areas include, but not limited to, reputation risk, compliance analytics, and cyber security. Specific duties include the following: Managing large and complex data sets using statistical tools and database technologies; conducting econometric and statistical analysis of data; developing statistical models to quantify the value of the credit risk parameters, market risk VAR, and non-financial risk the bank faces; writing technical documentation; presenting results of work to various groups of stakeholders, including senior management; working with the information technology group to document business requirements and to ensure methodologies are accurately implemented in production systems; and completing analytic service assignments in the broader area of risk management and measurement.
Minimum requirements are: Master's degree, or its equivalent, in Statistics, Mathematics, Quantitative Finance, or a related quantitative field; and 2 years of modeling experience in a financial institution.
Must have: Demonstrated understanding of multivariate statistics (including logistic regression, generalized linear models), Monte Carlo simulation, and distribution analysis; demonstrated experience modeling credit risk and operational risk for financial institutions; demonstrated knowledge of SAS, MATLAB, SQL and R programming languages ; p roven strong written and verbal communication skills; demonstrated experience with the methods used in the calculation of PD, LGD, property, Stress testing, and CECL and how these methods can be applied to large portfolios; and demonstrated experience working with large and complex data sets. (Unless otherwise indicated, State Street is seeking the ability in the skills listed above with no specific amount of years of experience required. All experience can be gained concurrently.)
A pply online at statestreet.com/careers . State Street Job ID: R-649962 .
An EOE. #LI-DNI