Risk Analytic Library Software Engineer

State Street Corporation is a leading global financial services provider headquartered in Boston, Massachusetts. It offers a broad range of services, including investment servicing, investment management, and data and analytics solutions, catering to institutional investors worldwide. State Stress is renowned for its expertise in managing complex financial operations, supporting clients such as asset managers, insurance companies, and pension funds. The company is committed to innovation, leveraging advanced technology to deliver cutting-edge solutions in risk management, compliance and efficiency.

State Street's Centralized Modeling, Analytics and Operations (CMAO) provides quantitative modeling and analytical development expertise to service Financial Risk and Global Treasury. We operate our Risk Analytic Library, a modern model development platform, to develop and execute models. We also support and operate several third-party platforms for business processes. We provide macroeconomic scenarios to various forecasting including CECL, CCAR and Quarterly Stress Testing. We provide reporting, data governance and system change management for Financial Risk as well as 2nd line data risk management for Enterprise Risk Management (ERM).

Who we are looking for

Risk Analytics Library team is seeking a software engineer to innovate the design and implementation of a cutting-edge quantitative library that will revolutionize the way we analyze and process financial data. This is a unique opportunity to influence the fintech space, work within a dynamic team, and set new industry benchmarks. If you're ready to unleash your technical powers and drive innovation, join us on this journey and lead the change in reshaping the future of quantitative risk analysis. The ideal candidate should have strong background in software engineering, as well as methodologies and analysis

Key Responsibilities

• Design, develop, and maintain web applications, APIs, and backend services
• Collaborate with product managers, designers, and analysts to understand requirements and deliver effective solutions
• Support data processing and analytics workflows, including integration with quantitative models and tools
• Contribute to testing, deployment automation, and continuous integration pipelines.
• Participate in code reviews, documentation, and ongoing improvements to development practices

Required Qualifications:

• Bachelor's or more advanced degree in computer science, Engineering, or a related field.
• 1–3 years of experience in software development, preferably in data-centric environments
• Familiarity with frontend technologies (JavaScript, HTML, CSS)
• Proficient in Python and relevant Python libraries and tools for quantitative analysis (e.g., NumPy, pandas).
• Experience with version control (Git) and basic CI/CD tools
• Strong problem-solving skills and a willingness to learn new technologies

Preferred Qualifications:

• Exposure to financial services, risk analytics, or regulatory reporting is a plus
• Proficiency in Python and experience with frameworks such as Flask, FastAPI, or Django
• Familiarity with frontend frameworks (React, Vue, or Svelte) is helpful but not required.
• Interest in working in cross-functional teams and engaging with both technical and non-technical stakeholders

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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