Senior Business Analyst – Commercial Banking AI POD (AMCB)

Job Description The Senior Business Analyst will support Client's American Consumer & Commercial Banking (AMCB) AI POD, partnering with Product, Data Science, Engineering, Risk, and Compliance teams to deliver AI and advanced analytics solutions across the U.S. Commercial Banking portfolio.

This role focuses on translating commercial banking business needs, regulatory expectations, and risk controls into clear, compliant, and actionable requirements that enable responsible AI adoption across lending, treasury, servicing, fraud, and operations.

Key Responsibilities

Commercial Banking & AI Use-Case Enablement

Support AI and advanced analytics initiatives across U.S. Commercial Banking, including:

Commercial lending & credit underwriting

Client onboarding & KYC

Transaction monitoring & fraud detection

Portfolio monitoring & early warning indicators

Operational efficiency & intelligent automation

Partner with Product Owners and AI leads to define use cases, epics, and feature roadmaps for AI-enabled capabilities.

Translate complex business problems into data-driven and AI-ready requirements.

AI Governance, Risk & Compliance

Embed Responsible AI, model risk, privacy, and regulatory controls into requirements and delivery artifacts.

Partner with Risk, Compliance, Legal, and Model Risk Management (MRM) teams to ensure AI solutions meet U.S. regulatory expectations.

Support documentation for:

Model assumptions and limitations

Explainability and transparency requirements

Data lineage and data quality controls

Human-in-the-loop and override mechanisms

Assist with regulatory exam readiness, risk assessments, and audit inquiries related to AI solutions.

Agile POD Delivery

Act as the lead Business Analyst within an Agile AI POD (Product Owner, Data Scientists, ML Engineers, Platform teams).

Own and author epics, features, user stories, and acceptance criteria for AI and analytics initiatives.

Drive backlog refinement, dependency management, and sprint readiness.

Facilitate workshops with business, risk, and technical stakeholders to clarify requirements and align on outcomes.

Data & Analytics Requirements

Define data requirements including sources, attributes, quality rules, and usage constraints.

Collaborate with Data Engineering teams on data pipelines, feature engineering inputs, and integrations.

Support validation of AI outputs against business expectations and regulatory requirements.

Tools & Documentation

Manage requirements and delivery artifacts in JIRA.

Maintain documentation, process flows, decision logs, and AI governance artifacts in Confluence.

Contribute to:

Business and functional requirements

Data mapping and lineage documents

Model governance and control documentation

UAT and model validation support materials

Required Qualifications

8+ years of Business Analysis experience in banking or financial services

Strong experience supporting Commercial Banking or Corporate Banking domains

Hands‑on experience delivering AI, ML, or advanced analytics initiatives in a regulated environment

Strong understanding of:

Commercial lending and servicing processes

KYC / AML / fraud controls

U.S. banking regulatory expectations

Advanced experience working in Agile / POD-based delivery models

Expert‑level experience with JIRA and Confluence

Excellent stakeholder engagement and communication skills

Nice to Have

Experience working with Data Science, ML, or AI platform teams

Exposure to Model Risk Management (MRM) frameworks

Familiarity with Responsible AI principles

Experience supporting regulatory exams involving analytics or models

CBAP, Agile, or analytics‑related certifications

Success Factors at TD

Ability to balance innovation with risk and compliance

Strong collaboration across business, technology, and risk

Comfort working in ambiguity and fast‑moving AI environments

Clear, structured communication with senior stakeholders

#J-18808-Ljbffr