State Street

www.statestreet.com

3 Jobs

42,854 Employees

About the Company

At State Street, we partner with institutional investors all over the world to provide comprehensive financial services, including investment management, investment research and trading, and investment servicing. Whether you are an asset manager, asset owner, alternative asset manager, insurance company, pension fund or official institution, you can rely on us to be focused on your challenges. We are committed to doing what it takes to help you perform better — now and in the future.

Listed Jobs

Company Name: State Street
Job Title: Artificial Intelligence & Machine Learning, Off (US Only)
Job Description: Job title: AI & Machine Learning Compliance Technology Officer Role Summary: Officer‑level analyst responsible for designing, testing, and monitoring AI/ML models that detect financial crime. Works with large transactional datasets, collaborates with data scientists, engineers, ethics and compliance teams, and ensures models are auditable, explainable, and meet regulatory standards. Expactations: Deliver high‑quality, production‑grade models with low false‑positive rates; maintain clear documentation for audit; provide actionable insights to senior stakeholders; manage multiple user stories in an Agile environment; communicate results to both technical and non‑technical audiences; update and triage issues promptly. Key Responsibilities: • Develop, validate, and tune AML, sanctions, and transaction‑monitoring ML models. • Perform data exploration, feature engineering, and transformation on large datasets. • Train and evaluate models using metrics such as precision, recall, and false‑positive reduction. • Conduct model validation, including false‑positive/false‑negative analysis with compliance teams. • Document models (assumptions, methodology, limitations) for regulatory review. • Monitor model performance, detect drift or data quality issues, and recommend remediation. • Integrate models with data pipelines, resolving data and integration challenges. • Participate in Agile ceremonies, write user stories, test, and support UAT. • Maintain BRDs, data mapping documents, and user acceptance documentation. • Escalate critical issues and resolve cross‑functional technical gaps. Required Skills: • Proficiency in Python, SQL, and ML libraries (scikit‑learn, TensorFlow, PyTorch). • Strong knowledge of supervised learning, basic unsupervised learning, model evaluation, and bias mitigation. • Experience with large, complex transactional or reference datasets. • Understanding of data quality, class imbalance, and model interpretability challenges. • Familiarity with AML, sanctions, fraud detection, or regulated compliance analytics is highly desirable. • Excellent analytical, problem‑solving, and documentation skills; ability to explain complex results to diverse audiences. • Self‑directed, deadline‑conscious, and collaborative in cross‑functional teams. Required Education & Certifications: • Bachelor’s degree in Computer Science, Statistics, Data Science, Finance, or related field; advanced degree preferred. • Professional certifications (e.g., Certified Analytics Professional, AWS Certified Machine Learning, or similar) are a plus.

Boston, United states

Remote

09-03-2026

Company Name: State Street
Job Title: Full Stack Software Engineer, Vice President – Corporate Functions Technology
Job Description: **Job Title** Full Stack Software Engineer, Vice President – Corporate Functions Technology **Role Summary** Individual contributor responsible for end‑to‑end design, development, testing, and operation of enterprise‑grade, cloud‑native full‑stack applications that modernize Internal Audit workflows. Drives technical decisions, enforces engineering standards, and integrates AI/ML capabilities while ensuring security, compliance, and operational resilience. **Expectations** - Deliver high‑quality, secure, and scalable software solutions on schedule. - Provide technical leadership through design reviews, code reviews, and mentorship. - Maintain production reliability, observability, and cost‑effective cloud operations. - Collaborate cross‑functionally with product, audit, AI, data, and security teams. **Key Responsibilities** - Lead design and implementation of complex front‑end (component‑driven, accessible UI) and back‑end services (RESTful APIs, microservices). - Architect cloud‑native solutions using containers, horizontal scaling, and resiliency patterns; manage IaC and CI/CD pipelines. - Integrate AI/ML models into user workflows, implement telemetry, evaluation controls, and human‑in‑the‑loop safeguards. - Develop data access layers for SQL/NoSQL and lakehouse platforms (e.g., Databricks); support scheduled analytics processes. - Enforce secure coding practices, identity/access controls, audit logging, and compliance with regulatory standards. - Own production support, root‑cause analysis, and continuous improvement of monitoring, alerting, and logging. - Influence technical roadmaps, prioritize technical debt, and promote modern engineering practices. **Required Skills** - Full‑stack development expertise (JavaScript/TypeScript, React or similar; Java, C#, Node.js, or comparable back‑end). - Cloud platforms (AWS, Azure, or GCP) with container orchestration (Kubernetes/Docker). - CI/CD, IaC (Terraform, CloudFormation), automated testing, and observability tools. - API design (REST/GraphQL) and data integration (SQL, NoSQL, lakehouse). - Experience embedding AI/ML services into applications; familiarity with model monitoring. - Strong security and compliance knowledge for regulated enterprises. - Excellent problem‑solving, communication, and stakeholder collaboration skills. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or related field (Master’s preferred). - Relevant certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect, Kubernetes Certified Administrator) are a plus.