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Luxoft

LoanIQ Technical Business Analyst

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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.

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.
  • 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: 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

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