Job Description

State Street Corporation (SSC) is one of the Global Systematically Important F

Who we are looking for:

State Street Corporation (SSC) is one of the Global Systematically Important Financial Institutions (G-SIFI) and the second oldest financial institution in the United States of America. Centralized Modelling Analytics Hangzhou (CMA Hangzhou) being a direct subsidiary to Centralized Modelling Analytics Boston, plays a key role in supporting CMA Boston initiatives and performing independent research.

Centralized Modelling Analytics (CMA) within Enterprise Risk Management (ERM) serves a critical function in risk modeling, loss forecasting, and regulatory compliance. CMA provides support in the development, deployment, and documentation of tools and methods for assessing various aspects of market, credit, operational, and liquidity risk for SSC. The team’s work involves building models to support SSC’s application of the advanced internal ratings-based (AIRB) approach to risk measurement under Basel III, ALLL (Allowance for Loan and Lease Losses), Federal Reserve Stress Testing, such as CCAR (Comprehensive Capital Analysis and Review), ECB stress testing Application of the AIRB approach and IFRS 9/CECL, which are pivotal inputs to the firm’s capital planning process. The capital estimates support a variety of management objectives including developing regulatory reports, improving risk management, enhancing risk reporting, and allocating capital to business units. Intern would be mainly responsible for ongoing monitoring of Basel/CCAR/CECL/IFRS 9 credit models.

Why this role is important to us:

The team you will be joining plays an important role in the overall success of the organization. Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. To make that happen we need teams like yours to help navigate employees and the organization as a whole. In your role you will strive for cutting-edge solutions, that are straightforward and scalable. You will help us build resilience and execute day to day deliverables at our best.

What you will be responsible for:

As Quantitative Analyst Intern, you will

• The incumbents are expected to support the end-to-end process of data analysis, model implementation, result analysis, and ongoing monitoring of risk forecasting models;

• Proactively solve quantitative as well as qualitative issues in data management, methodology, model structuring, and results reporting;

• Collaborate with risk analysts and model users to design and implement efficient process controls as well as ongoing monitoring;

• Collaborate with IT team on data processing and analysis;

• Produce and submit ongoing monitoring reports to internal (senior management and business experts) and external (regulators) audience;

What we value:

• Interests in risk management, data analytics, and quantitative modeling;

• Strong written and verbal English communication skills

Education & Preferred Qualifications:

• Advanced degree in computer science, financial engineering or equivalent. Knowledge and research experience in finance & economics are strongly recommended;

• Knowledge of at least one language such as R, Python, SAS, MATLAB, or Stata; Experience with SAS and R is preferred; Knowledge with SQL is a plus;

• Knowledge of regulations (e.g., Basel, CCAR, IFRS 9/CECL, etc.) is preferable;

• Relevant industry experience in banking sector risk management is a plus;

About State Street

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.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, 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.

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