Quantitative Risk Analyst (State Street Bank and Trust Company; Boston, MA): The Quantitative Risk Analyst will focus on delivering modeling and analytics solutions to business units across State Street. The position will focus on various risk initiatives that create value through data driven solutions enabling timely and informed decisions. The Quantitative Risk Analyst will build and use models to understand the risk profile of State Street’s assets and liabilities under a variety of financial market environments. These models will include valuation models to forecast investment portfolio credit losses, risk weighted assets, market values for complex investment portfolios, securities finance, or other risk-related functions. Specific duties of the position include: assisting with model methodology research, prototyping and determination; utilizing hands-on experience in building models for various structured and non-structured securities; utilizing and enhancing quantitative and analytical approaches to achieve risk excellence and meet the standards of both internal and regulatory guidelines; evaluating the models and approaches of third-party vendors for these risks, as necessary; collaborating with colleagues, business partners, control functions and other relevant areas of the bank to incorporate regulatory capital constraints and potential policy impacts on investment strategy and allocation decisions; designing and implementing suitable and effective model monitoring plan including performance metrics, thresholds, and implementation process; supporting risk management activities and proactively resolve issues; providing support on special projects, including review, oversight and analysis to support key strategic risk related initiatives; assisting in development and establishment of risk limits, guidelines and policies, as needed; ensuring appropriate reporting and governance exists to communicate relevant risk information to senior management; ensuring proper modeling of asset products within the Quantitative Risk Management system and serve as the subject matter expert by developing a deep understanding of all QRM model data, uses cases, and changes that may impact downstream use cases; working with the modeling teams to ensure functional and accurate model implementation by thoroughly reviewing all available documentation, coordinating, and analyzing test results of all model methodology changes made to the QRM framework; advancing proper market calibration methodologies used by QRM in respect to interest rates, spreads, and volatility; and operating and monitoring of complex quantitative and statistical methodologies on yield curve dynamics and assist with the corporate interest rate forecast. Hybrid-remote telecommuting permitted pursuant to Company policy.