Risk Lead Architect

Job Description

Job Description

• Senior or lead-level architect and hands-on practitioner, able to take initiatives from concept through design, architecture, and working prototypes rather than strategy alone.
• Deep data and information architecture: conceptual, logical, canonical, and semantic data models; authoritative systems of record and reusable data products; source-to-target mapping, data lineage, reconciliation, auditability, metadata, and governance.
• Modern integration and platform fluency across APIs, event streaming (Kafka), ETL/ELT, data virtualization, Lakehouse consumption, and cloud or object storage such as NetApp S3.
• Financial-services domain depth across risk, compliance, finance, and regulatory contexts, with the ability to translate business and regulatory needs into scalable architecture.
• AI-embedded delivery: applies GenAI, agentic AI, LLM/RAG, and knowledge-graph techniques to real use cases and rapid prototypes, while keeping AI governed, explainable, and compliant with Responsible AI, Model Risk, privacy, and security expectations.
• Strong communicator and influencer with executive presence, comfortable presenting to senior leaders and Architecture Review Boards and operating independently in ambiguous, matrixed environments.
• Typically 7 years in engineering and solution architecture, with 5 years in a relevant financial-services domain, and familiarity with an enterprise architecture framework such as TOGAF.

Role:Finance & Risk Lead Architect (Supporting Finance & Risk Architecture) - A hands-on Lead Architect supporting mission-critical Finance and Risk initiatives across Corporate Financial Accounting, CIB Capital Markets Accounting, Regulatory Reporting, and Investment Portfolio.

• Own end-to-end architecture for Finance and Risk initiatives, including sub-ledger modernization, corporate accounting, CIB capital-markets accounting, regulatory reporting, and investment portfolio.
• Define current-, target-, interim-, and transition-state architectures with actionable roadmaps and reusable patterns across data, applications, APIs, events, and cloud or object storage.
• Advance information architecture using authoritative sources, data products, lineage, governance, reconciliation, auditability, and accounting-event models.
• Bring working knowledge of regulatory reporting (Basel III and Basel III Endgame, CCAR, FR Y-9C, FFIEC, Broker-Dealer, and Axiom), plus financial-accounting event processing, close cycles, and GL/Sub-Ledger integration.
• Apply AI/ML and agentic AI to accounting, external reporting, reconciliation, controls, and data-quality use cases.
• Typically 5 years in Corporate Accounting, Regulatory Reporting, Investment Portfolio, or a closely related finance domain, in addition to the common architecture bar above.

What Makes a Strong Match
We are looking for a builder-minded architect who pairs strategic vision with hands-on execution: someone who structures ambiguity, makes sound decisions, and drives initiatives independently. The strongest candidates combine data-architecture depth, financial-services domain fluency, and practical AI skill to deliver solutions that are governed, resilient, and auditable, and they bring the executive presence to align business, risk, data, and engineering stakeholders.

Please submit profiles that clearly evidence this blend of domain, technology, and AI capability, indicating which of the two roles each candidate best fits.