CAIA's Career Center is an easy-to-use, comprehensive resource connecting job seekers with employers in the growing AI field. Use your knowledge and credibility to advance your career or build a talented team for your organization. Opportunities targeted to CAIA Charterholders are prioritized.
In order to search for jobs specifically for CAIA Charterholders or those pursuing the CAIA Charter please enter “CAIA” in the search panel.
This will enable you to search for CAIA specific roles globally.
Quantitative Analyst (State Street Bank and Trust Company; Boston, Massachusetts): will provide quantitative support to State Streets 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: Masters degree, or its equivalent, in Economics, Statistics, Mathematics, Quantitative Finance, or a related quantitative field; and 2 years of (pre or post Masters 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).
Apply online at statestreet.com/careers. State Street Job ID:R-637782An EOE.
Posted 3 Days AgoFull timeR-637782
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 .