Quantitative Analyst-Collateral Risk
Quantitative Analyst-Collateral Risk Analyst (State Street Bank and Trust Company; Boston, Massachusetts): is responsible for risk management and optimization in the Company's Global Markets Division. The position requires an ability to communicate and make complex quantitative processes transparent to expert and non-expert audiences. The Quantitative Analyst will be a part of a dynamic and fast-paced work environment with frequently changing projects and assignments, and will help develop quantitative optimization strategies and visualizations and reporting for various areas of the business. Specific duties of the position include: Executing program-level optimization tasks, including but not limited to: Regulatory impact and optimization (Basel III Capital Rules, CCAR, DFA Large Exposure limits, Stress Testing, mandatory clearing requirements), program-wide sensitivity and stress-scenario analyses, "What-if" style analyses and reporting, to respond to ad-hoc inquiries and opportunities, loan allocation modeling to determine revenue and risk impact of changes in allocation methodology, and analyzing the impact of potential market-wide changes including CCPs; creating reporting packages and decision support tools that visualize analysis results and scenarios for traders, risk managers, and Senior Management; translating model outputs and analyses into reports and visualizations using popular BI tools (Business Objects, Cognos, Spotfire, or similar); optimizing modeling programs in a financial markets context; and utilizing experience with MatLab, SAS, Python, R, RiskMetrics/RiskManager, VB, Excel, and SQL.
Minimum requirements are: Master's degree, or its equivalent, in Finance, Economics, or a related field; and 2 years of experience in optimization modeling problems in a quantitate field.
Must have: Deep understanding of various financial instruments such as equities, fixed income, derivatives and currencies; deep understanding of regulations such as Basel III, Basel IV, CCAR, DFA, Stress Testing, SCCL; demonstrated ability in developing and enhancing quantitative and statistical models involving various financial instruments and regulations for analysis, attribution and estimation of risk and regulatory measures; demonstrated ability to translate model outputs and analyses into reports and visualizations using popular BI tools such as Business Objects, Cognos, and Spotfire; demonstrated experience with MatLab, Python, R, SAS, RiskMetrics/RiskManager, VB, Excel, and SQL; and demonstrated ability with structure and functioning of global Securities Lending markets. (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-664686 .
An EOE. #LI-DNI