Quantitative Analyst (State Street Bank and Trust Company; Boston, Massachusetts ): will provide quantitative support to State Street's efforts to advance the quantification of non-financial risk such as operational risk, cyber security, reputation risk etc. The incumbent also provides analytical shared services to different business units across the corporation. The shared services projects include, not do not limit to, credit risk model development, market risk, liquidity risk, and deposit studies. Specific duties include: 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 Shared Services assignments in the broader area of risk management and measurement.
Minimum requirements are: Master's degree, or its equivalent, in Economics, Statistics, Mathematics, Quantitative Finance, or a related quantitative field; and 2 years of (pre or post Master's degree) model development experience. Alternatively, will accept a Ph.D. in Economics, Statistics, Mathematics, Quantitative Finance, or a related quantitative field.
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; demonstrated knowledge of SAS, MATLAB, SQL and R programming languages; proven strong written and verbal communication skills; demonstrated experience with the methods used in the calculation of PD, LGD, property valuation, ALLL and Stress testing 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-637782
An EOE. #LI-DNI