About the job The Finance Data and AI Office (DART) delivers trusted data, analytics, and AI enabled solutions across Finance, Risk, and Treasury. This role sits within the Automation, Analytics & AI pillar and focuses on building practical, scalable solutions that address real finance challenges end to end—from problem framing and solution design through deployment and adoption—including data governance and internal control capabilities that align to regulatory expectations and standards . Who we are looking for The ideal candidate combines strong analytical thinking with business curiosity and judgment and can thoughtfully apply emerging AI capabilities and low ‑ code/no ‑ code tools to build data solutions with tangible Finance outcomes—improving insight quality, controls, efficiency, and decision ‑ making. What you will be responsible for: Build Agentic AI & Copilot Solutions for Finance Design and deliver agent ‑ based workflows that can plan, reason, and execute tasks across finance processes (with appropriate human oversight and controls). Implement solutions that use LLM copilots for finance narratives, variance explanations, exception triage, and root ‑ cause analysi s Combine AI reasoning with deterministic logic (rules, thresholds, accounting constraints, materiality) to ensure reliability in controlled environments Prompt Engineering & Context Design (Finance ‑ Grade) Create and refine prompts grounded in finance context (e.g., P&L, cost centers, accounting rules, materiality thresholds) and structure outputs for decision ‑ making. Build reusable prompt patterns, evaluation approaches, and guardrails to reduce hallucinations and increase consistency. Apply Data Science Where It Matters Use analytics and data science methods (e.g., anomaly detection, classification, forecasting support, explainability) to strengthen finance insight and controls. Analyze large, complex datasets to identify breaks, drivers, trends, and actionable signals relevant to Finance operations and reporting. Enable AI Using No ‑ Code / Low ‑ Code Platforms Use no ‑ code and low ‑ code tools (e.g., Alteryx, Power BI, Power Platform or similar) to: Operationalize AI outputs into finance workflows Orchestrate AI ‑ driven steps alongside rules ‑ based logic Surface AI ‑ generated insights, exceptions, and narratives to end users Responsible AI & Controls ‑ Aware Delivery Ensure solutions are explainable, auditable, and aligned with governance expectations Validate AI outputs against financial data and business logic; design monitoring to maintain quality over time. Regulatory Alignment, Data Governance & Controls Contribute to BCBS 239 and broader regulatory a ligned outcomes by improving traceability , accuracy, completeness, timeliness, and evidencing for critical finance/risk data used in aggregation and reporting Ensure solutions delivered are consistent with broader regulatory expectations and embed appropriate data governance and controls from design through production Skills and experience needed: Bachelor’s degree in AI, Data Analytics, Computer Science, Engineering, or a related field. 3 -5 years of experience in emerging AI technologies, data science, analytics, automation (financial services preferred) Strong analytical and problem ‑ solving skills Proficiency in SQL and Python Famil iar with data warehousing, data modelling , ETL concepts Exposure to automation tools (e.g., low ‑ code platforms, RPA, workflow tools). U nderstanding of F inance , R isk and/ or T reasury business processes Strong written and verbal communication skills Knowledge of the below tools is preferrable Microsoft Co-pilot Studio Microsoft 365 Co-pilot Databricks Anthropic / Claude Alteryx Microsoft Fabric Salary Range: $65,000 - $113,750 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. Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit https://hrportal.ehr.com/statestreet/Home . 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. Discover more information on jobs at StateStreet.com/careers Read our CEO Statement 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.

Data Analytics & Management - Officer