Role Overview
The ALM Risk Business Analyst will be responsible for supporting the development, enhancement, and maintenance of ALM (Asset Liability Management) Risk Systems. This role requires strong analytical capability, stakeholder management skills, and the ability to translate business requirements into functional system specifications. The successful candidate will work closely with Technology, Risk, and Business stakeholders to ensure system enhancements support strategic objectives and regulatory expectations.
Key Responsibilities
1. Business Analysis & Requirements Management
- Gather, analyse, and document business requirements from stakeholders for ALM Risk System enhancements.
- Conduct impact assessments for change requests and evaluate alignment with existing processes and applications.
- Translate business needs into clear and detailed functional specification documents for Technology teams.
2. Solution Design & Delivery Support
- Design forward-looking, scalable, and fit-for-purpose solutions to support ALM processes and reporting.
- Develop project plans, manage timelines, and ensure deliverables are completed within scope and schedule.
3. Testing & Validation
- Develop comprehensive test plans including test scenarios and test cases.
- Execute User Acceptance Testing (UAT), regression testing, simulation testing, and live verification to ensure system functionality meets requirements.
4. Systems Governance & Roadmap Planning
- Contribute to the development and execution of a long-term ALM Risk Systems roadmap based on business needs and emerging requirements.
- Provide functional support to users and co-manage production issues in partnership with Technology and system vendors.
Requirements
- Relevant years of experience in business analysis or a related role.
- Knowledge of ALM risk disciplines – Liquidity Risk, Interest Rate Risk, Balance Sheet Risk is preferred.
- Experience working with or implementing ALM Risk Systems would be an advantage.
- Demonstrated ability to act as the bridge between IT teams and business end-users.
- Familiarity with AI/ML applications in financial or analytical environments is advantageous.
- Proficient in SQL and Microsoft Excel.
- Strong analytical, communication, stakeholder engagement, documentation, and problem‑solving skills.
- Self‑driven, accountable, and able to work independently with minimal supervision.
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