Credit Risk Analyst

Main Purpose<\/b><\/span>
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To perform reporting, data\nanalysis and forecasting to support the development and maintenance of Retail\nCredit Risk strategies for acquisitions and/or existing customers.<\/span>
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KEY\nOUTCOMES<\/span><\/b>
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  • Analysis\n and Reporting<\/span>
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  • Champion\n Challenger Strategies<\/span>
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  • Participate\n in Analysis of Strategy Performance and Initiatives<\/span>
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  • Stakeholder\n Management<\/span>
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  • Self\-development<\/span>
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    Requirements<\/h3>

    TECHNICAL COMPETENCIES<\/span><\/b>
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    • Management\n Information Production<\/span>
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    • Data\n Quality<\/span>
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    • Risk\n and Return Analytical Models, Metrics, Matrices and Tools<\/span>
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    • Financial\n Data Analysis and Predictive Modelling<\/span>
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    • Governance\n and Compliance<\/span>
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    • Structured\n Language Analytical Software and CVM Applications<\/span>
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    • Statistics\n and Statistics Methodologies<\/span>
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    • Credit\n Risk Policy Systems<\/span>
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    • Credit\n Risk Regulations<\/span>
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      MINIMUM QUALIFICATION<\/span><\/b>
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      · <\/span><\/span><\/span>University degree in business, statistics, operations research\neconomics or industrial engineering or equivalent industry training and\nexperience. <\/span><\/span>
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      EXPERIENCE REQUIRED<\/span><\/b>
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      · <\/span><\/span><\/span>Experience in performing data analysis utilizing a standard\nstatistical package such as SAS or SQL is required.<\/span>
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      · <\/span><\/span><\/span>Practical experience in using analytics to solve complex business\nproblems would be advantageous.<\/span>
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      · <\/span><\/span><\/span>Experience in working with various data sets as well as ability to\nestablish data integrity and relationships.<\/span>
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      ADDITIONAL REQUIREMENTS<\/span><\/b>
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      · <\/span><\/span><\/span>Passionate\nabout data analytics and how this contributes to the business. <\/span><\/span>
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      · <\/span><\/span><\/span>Proven ability\nto effectively communicate analytical insights and improvement recommendations.<\/span>
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      · <\/span><\/span><\/span>Proven ability\nto work as a team player to ensure effective delivery of reporting, tasks,\nprojects and any other related deliverables.<\/span>
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      · <\/span><\/span><\/span>High level of\nPC literacy, ideally with the experience in the use of SAS.<\/span>
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      · <\/span><\/span><\/span>Proficiency in\nMicrosoft Office (Excel, Word, PowerPoint etc.), ideally using macros.<\/span>
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      · <\/span><\/span><\/span>Ability to\nreason and package ideas and results in a logically ordered, understandable and\npractical way to both technical and non\-technical audiences.<\/span>
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      · <\/span><\/span><\/span>Exceptional\ntime management skills to be able to complete tasks effectively to deadlines\nand manage multiple tasks.<\/span>
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      · <\/span><\/span><\/span>Good communication skills, both written and verbal\n(including being able to run workgroups/meetings and minute\-taking.)<\/span>
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      Closing Date: 15 May 2026<\/div><\/span>