Quantitative Analysis (State Street Bank and Trust Company; Boston, MA): provide analytics-based services and solutions to business units across State Street and create value through data-driven solutions that enable State Street and our business partners to make timely and informed decisions. Duties include: developing and driving best in class mortgage and other asset class prepayment modeling; 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 team 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; performing all aspects related to model change control governance, including authoring appropriate test cases, test applications, procedures and controls, implementation writeups with supporting evidence, model validation tests and submissions; advancing proper market calibration methodologies used by QRM in respect to interest rates, spreads, and volatility; operating and monitoring of complex quantitative and statistical methodologies on yield curve dynamics and assist with the corporate interest rate forecast; developing and maintaining a loan prepayment back-testing function with appropriate governance; working collaboratively across the three lines of defense to ensure the appropriate product modeling parameters and characteristics are captured, reviewed, and challenged; serving as the representative on product analysis and modeling with model risk oversight, regulatory agencies, and internal oversight functions; working closely with model owners, users, senior management and other business units to understand the business needs and conditions and determine the analytical tools and data needed; conducting complex financial modeling used to derive sound assumption sets; be able to blend rigorous quantitative analysis with qualitative insights from business units; applying knowledge/skills handling complex problems and/or coordinating work which may extend beyond own area of expertise; and shares expertise with colleagues and other departments. Hybrid telecommuting permitted pursuant to Company policy.

Minimum requirements are: Master’s degree, or its equivalent, in Financial Engineering, Math, Statistics, or other relevant quantitative fields; and 2 years of experience as a Quantitative Analyst or related quantitative role.

Must have: Demonstrated experience with ALM, Funds Transfer pricing, or similar quantitative experience in large, complex financial institutions; demonstrated experience using mathematical/application tools to perform appropriate analysis and to refine computer modeling applications; demonstrated programming experience in Python and R; proven verbal and written communication skills, with ability to articulate ideas, analysis and complex concepts effectively to broad audiences; demonstrated ability to work independently on complex projects as well as the ability to be a team player in a fast-paced, high-energy level environment; proven competence and confidence to gain credibility and collaborate for success across the organization; and demonstrated high proficiency in time series analysis and financial modeling. (Unless otherwise indicated, State Street is seeking the stated ability in the skills listed above with no specific number of years or amount of experience required. All experience can be gained concurrently.)

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Salary Range:

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.