Acts as a bridge between business stakeholders and engineering to define and deliver LoanIQ integration solutions for a major bank, focusing on accounting, cash management, and regulatory processes.
We're 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, 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.
SKILLS
Must have
SME Knowledge of the LoanIQ application/data model and/or Syndicate Lending business, as well as version 7+ of the LoanIQ application
8 - 10+ 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:
o Generating comprehensive documentation
o Enhancing stakeholder communication and reporting using AI tools
o Identifying opportunities to embed AI-driven features into products
o Ability to apply AI tools responsibly to improve productivity and quality while maintaining governance and standards