Senior LIQ Technical BA

Job Title: Senior LIQ Technical BA

Position Details

• Location: Weehawken, NJ (Onsite)
  

• Duration: Onsite
  

• Experience Required: 10+ Years
  

• Interview Mode: Video
  

Job Description We are seeking a seasoned Business Analyst to join a Pod to provide LoanIQ Analysis and SME expertise as part of a LoanIQ implementation for a major bank. You will act as the bridge between business stakeholders, engineering teams, and QA to define, prioritize, and deliver robust integration solutions.

Responsibilities

• Perform LoanIQ analysis, requirements gathering, and provide SME expertise for LoanIQ implementation and integration, including Accounting & General Ledger processing, Operations cash management and settlement processes, Delayed Compensation, and Regulatory Deliverables.
  

• Analyze the impact of changes on front-to-back systems flows and architecture.
  

• Gather business requirements and create detailed specifications (RESTful services, data feeds, etc.).
  

• Liaise with stakeholders across Front Office, Operations, Finance, and IT groups to ensure seamless integration across all dependent interfaces, feeds, and reporting.
  

• Assist users in setting up and executing User Acceptance Testing (UAT).
  

• Ensure alignment with enterprise architecture and compliance frameworks.
  

• Liaise with the Product Owner to define user stories, acceptance criteria, and product backlog items.
  

Must Have Skills & Qualifications

• SME Knowledge of the LoanIQ application/data model and/or Syndicate Lending business, as well as version 7+ of the LoanIQ application.
  

• 10+ years of Business Analysis experience in banking / financial services.
  

• Strong understanding of accounting terminology and practices.
  

• Strong understanding of integration design and data flows.
  

• Practical experience in Agile methodologies (Scrum, Kanban).
  

• Good communication, stakeholder management, and documentation skills.
  

• Practical experience leveraging AI tools in Business Analysis workflows (e.g., generating documentation, enhancing stakeholder communication/reporting, identifying opportunities to embed AI-driven features).
  

Nice to Have

• Ability to apply AI tools responsibly to improve productivity and quality while maintaining governance and standards.