Technical Business Analyst - LoanIQ

Project Description:

We're seeking a seasoned Business Analyst to join a Integration Pod responsible for delivering interface replacements and enhancements as part of a Loan IQ implementation for a major bank. You will act as the bridge between business stakeholders, engineering teams, and QA to define, prioritise, and deliver robust integration solutions.

Responsibilities:

• LoanIQ analysis, requirements gathering and SME expertise for LoanIQ implementation and integration. Areas to cover will include Accounting & General Ledger processing, Operations cash management and settlement processes, Delayed Compensation and Regulatory Deliverables.
• Analyze 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/executing User Acceptance Testing.
• Ensure alignment with enterprise architecture and compliance frameworks.
• Liaise with Product Owner to define user stories, acceptance criteria, and product backlog items.

Mandatory Skills Description:

• SME Knowledge of the LoanIQ application/data model and/or Syndicate Lending business, as well as version 7+ of the LoanIQ application.
• 6+ years in Business Analysis in banking / financial services.
• Understanding of Accounting terminology and practices.
• Strong understanding of integration design and data flows.
• Agile methodology experience (Scrum, Kanban).
• Good communication, stakeholder management, and documentation skills.
• Practical experience leveraging AI tools in Business analysis workflows, such as:
• Generating comprehensive documentation
• Enhancing stakeholder communication and reporting using AI tools
• Identifying opportunities to embed AI-driven features into products

Nice-to-Have Skills Description:

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