Responsibilities
• Gather, collate, and analyse requirements from business users and provide clear functional specifications for enhancements to ALM Risk Systems.
• Perform impact analysis of enhancement requests on existing processes.
• Design solutions that are sound, adequate, and forward-looking to address ALM business requirements.
• Plan, schedule and execute to deliverable objectives from initiation till successful implementation within agreed timelines.
• Devise comprehensive test plans (including test scenarios and test cases) to test IT deliverables.
• Perform User Acceptance Testing, Regression Testing, Simulation Testing and Live verification to ensure system deliveries meet requirements objectives.
• Formulate a Roadmap for ALM Risk Systems that continually address existing and potential business needs.
• Provide functional support to business users and co-manage ALM Risk System production issues with technology partners.
Requirements
• Degree in Banking, Financial Engineering, Computer Science or any other related quantitative discipline with about 1 to 5 years’ relevant experience in business analysis area
• Understanding and experience in the area of ALM Risk, including Liquidity Risk and Interest Rate Risk, specifically LCR, NSFR, MCO, IRRBB is preferred.
• Prior experience in implementing or managing an ALM Risk System would be an advantage.
• Prior business analysis experience of interfacing between IT Teams and end Users and translating / documenting business requirements into documents that can be used by IT Teams for development of systems solutions.
• Knowledge/experience of machine learning and AI usage would be useful.
• Strong inter-personal, communication, presentation, analytical and problem-solving skills
• Proficient in SQL and Excel
