State Street
Senior Data Scientist, Vice President
Toronto, Ontario, CA · Exec
Sponsorship not specifiedDetected 15 days ago
PythonSQLDatabricksAWSCI/CDMachine LearningTensorFlowPyTorchscikit-learnPandasSparkData EngineeringData ScienceNLPLLMsAgentic AIMLOpsStatisticsA/B TestingProduct StrategyAuditingPerformance ManagementLoad TestingTest Automation
About the role
- This is a senior individual‑contributor role with end‑to‑end accountability for delivery.
- Discover more information on jobs at StateStreet.com/careers Read our CEO Statement
Responsibilities
- Lead the end-to-end design of advanced analytics and AI solutions for complex, high-impact audit challenges, translating ambiguous business problems into scalable, data-driven approaches.
- Define solution architecture and strategic direction, evaluating multiple design patterns (analytical, ML, GenAI) to ensure alignment with audit objectives, enterprise standards, and long-term sustainability.
- Optimize trade-offs across speed, model performance, scalability, cost, and operational risk, ensuring solutions are production-ready and deliver measurable business value.
- Establish and own model selection frameworks, determining when to leverage existing models versus developing bespoke analytical or AI solutions (statistical, ML, SLM, LLM).
- Design, develop, and refine advanced models that generate actionable, audit-relevant insights, with strong emphasis on interpretability and decision usefulness.
- Clearly articulate, defend, and document modeling decisions to both technical and non-technical audiences, including senior stakeholders and control functions.
- Embed "controls by design" into all models and solutions, proactively addressing regulatory expectations and audit scrutiny.
- Lead governance for GenAI/LLM solutions, including prompt strategy, output reliability, grounding, traceability, and human-in-the-loop controls.
- Anticipate emerging regulatory and risk considerations (e.g., AI risk, model bias, data lineage) and incorporate them into solution design and documentation.
- Define and lead data strategy for AI use cases, including sourcing, profiling, enrichment, and representativeness, in partnership with data governance and engineering teams.
Benefits
- Drive rapid prototyping and iterative delivery, incorporating structured stakeholder feedback loops while maintaining clear product vision and prioritization discipline.
Company info
- Looking For
- We are seeking a Senior Data Scientist, Vice President to design and deliver advanced, data driven AI solutions supporting our Internal Audit Functions. In this hands‑on role, you will build the most relevant solutions leveraging a variety of methods including statistical models, machine learning, generative AI and agentic AI to drive measurable benefits and outcomes in a regulated enterprise audit environment.
- This is a senior individual‑contributor role with end‑to‑end accountability for delivery. You will serve as a senior technical leader and subject‑matter expert, partnering closely with auditors, data engineers, solution architects, product managers, and change specialists to embed AI into redesigned audit workflows in a way that enhances auditor effectiveness and meets enterprise and regulatory standards.
- What You Will Be Responsible For
- We are seeking a Senior Data Scientist, Vice President to design and deliver advanced, data driven AI solutions supporting our Internal Audit Functions.
- In this hands‑on role, you will build the most relevant solutions leveraging a variety of methods including statistical models, machine learning, generative AI and agentic AI to drive measurable benefits and outcomes in a regulated enterprise audit environment.
- You will serve as a senior technical leader and subject‑matter expert, partnering closely with auditors, data engineers, solution architects, product managers, and change specialists to embed AI into redesigned audit workflows in a way that enhances auditor effectiveness and meets enterprise and regulatory standards.
- Solution Design & Strategy
- Model Strategy, Selection & Development
- Set best practices for feature engineering, model architecture, and experimentation, guiding the team (formally or informally) on technical rigor and innovation.
- AI, Model Risk & Governance Leadership
- Act as the primary interface with Model Risk Management and governance functions, ensuring all solutions meet enterprise standards for validation, explainability, auditability, and lifecycle management.
- Data Strategy, Quality & Model Lifecycle Management
- Establish scalable standards for data quality, feature reuse, and model monitoring across the portfolio of audit analytics solutions.
- Stakeholder Influence & Enterprise Enablement
- Serve as a trusted advisor to Internal Audit, Technology, and senior leadership, shaping how AI and data science are applied within audit and risk management.
Visa & Work Authorization
- gin, 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 a
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This listing is sourced directly from State Street's careers page and normalized into a canonical job model.