Quantitative Risk Analyst (State Street Bank and Trust Company; Boston, MA): The Quantitative Risk Analyst will be a member of the Model Risk Management (MRM) team, which is part of Enterprise Risk Management reporting to Head of Model Risk Management Technology. The MRM team has responsibility for management of model risk across the entirety of State Street, including the maintenance of the model inventory and related processes, controls, technology and reporting. The person will be expected to bring their knowledge of data analysis and quantitative methods to enhance the current Model Risk Management platform and process. Specific duties of the position include: Designing, maintaining, and supporting the MRM Platform, updating existing/adding workflow designs and assisting in expanding the capabilities of the technological solution; Building and maintaining software lifecycle deliverables, including requirements definition, design, construction, and testing of new and enhanced functionality; Building and maintaining Model Risk Monitoring reports and contributing to reporting strategy, design and delivery; Designing, building, and maintaining user management and user access control systems for MRM Platform; Working with functional owners and IT team to maintain and enhance source information systems; Performing ad-hoc reporting as required; and Participating in user training and support to help drive adoption of reports and analytics tools among report consumers. Hybrid-remote telecommuting permitted pursuant to Company policy. Minimum requirements are: Masters degree in Computer Science, Data Science or a related technical field or its equivalent; plus 4 years of experience in Financial Industry. Must have: Total years of experience must include 1 year of experience in model risk management. Must also have: Proven knowledge of Models, Model Validation Process and Model Risk Management (SR 11-7); Demonstrated experience in working with SAS Studio, SAS Workflow Manager; Demonstrated experience with SQL, Groovy, SAS, Python, or R; Demonstrated experience in SDLC process, GIT, GitHub and Knowledge of AI/ML Models and Risk Management Process; and Ability to work with Global Team consists of IT, QA, Model Validators and Model Owners. (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.) To apply to this position, you must click the Apply button on this page and complete the online application. An EOE. #LI-DNI Salary Range: $90,000 - $160,000 Annual 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. Job Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. Our promise to maintain an environment where every employee feels valued and able to meet their full potential infuses our company values. Its also part of our commitment to inclusion, development and engagement, and corporate social responsibility. Youll have tools to help balance your professional and personal life, paid volunteer days, and access to employee networks that help you stay connected to what matters to you. Join us. As an Affirmative Action/Equal Opportunity Employer, we consider applications for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. For more information, for U.S. jobs only, please read our CEO Statement.
