Business Analyst (Banking exp)
Mount Laurel - NJ
$50/HR ON C2C
Contract
SKILLS:
Banking and Finance
Business Analysis
Experience: 8+ years
Role Overview
The Senior Business Analyst will support 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:
o Commercial lending & credit underwriting
o Client onboarding & KYC
o Transaction monitoring & fraud detection
o Portfolio monitoring & early warning indicators
o 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:
o Model assumptions and limitations
o Explainability and transparency requirements
o Data lineage and data quality controls
o 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:
o Business and functional requirements
o Data mapping and lineage documents
o Model governance and control documentation
o 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:
o Commercial lending and servicing processes
o KYC / AML / fraud controls
o 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
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