Senior LoanIQ Technical BA

Job Description

Project Description:

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

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.

• 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

Nice-to-Have Skills Description:

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