Manage and drive the credit models implementation and system initiatives, focusing on stress test, expected credit loss and corporate models
Gather and review requirements from all relevant stakeholders and translate them into user story and test cases
Manage internal stakeholders and collaborate with technology teams in the solutioning process to ensure that the solutions being implemented are feasible, scalable and sustainable
Assess and propose appropriate testing approach and sign-off criteria to stakeholders
Prepare test scenarios/cases and perform system testing for production fixes, system enhancements and migration
Prepare clear and proper documentation on the data flow, system design, business solutioning and testing approach
Perform data extraction and mappings to support data needs for analytical purposes
Conduct impact analysis on issues/gaps identified and propose practical solutions to address them
Track system enhancements and issues pending resolution and manage them till completion
Support user queries and post implementation review
Requirements
Degree, preferably in IT or data-related discipline
2-5 years relevant work experience in system implementation and testing
Proven knowledge in Credit Risk Models (familiarity with stress test and corporate models will be a plus)
Prior experience in Agile methodology preferred
Good knowledge of SQL, Python and PySpark
Self-motivated and able to work independently
Highly organized and flexible in prioritizing competing work demands
Able to produce quality results under tight timelines
Team player with good attitude and excellent interpersonal skills
