Credit Risk Analyst
Main Purpose<\/b><\/span> KEY\nOUTCOMES<\/span><\/b> TECHNICAL COMPETENCIES<\/span><\/b> <\/span><\/b> MINIMUM QUALIFICATION<\/span><\/b> · <\/span><\/span><\/span>University degree in business, statistics, operations research\neconomics or industrial engineering or equivalent industry training and\nexperience. <\/span><\/span> EXPERIENCE REQUIRED<\/span><\/b> · <\/span><\/span><\/span>Experience in performing data analysis utilizing a standard\nstatistical package such as SAS or SQL is required.<\/span> · <\/span><\/span><\/span>Practical experience in using analytics to solve complex business\nproblems would be advantageous.<\/span> · <\/span><\/span><\/span>Experience in working with various data sets as well as ability to\nestablish data integrity and relationships.<\/span> <\/span><\/b> ADDITIONAL REQUIREMENTS<\/span><\/b> <\/span><\/b> · <\/span><\/span><\/span>Passionate\nabout data analytics and how this contributes to the business. <\/span><\/span> · <\/span><\/span><\/span>Proven ability\nto effectively communicate analytical insights and improvement recommendations.<\/span> · <\/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> · <\/span><\/span><\/span>High level of\nPC literacy, ideally with the experience in the use of SAS.<\/span> · <\/span><\/span><\/span>Proficiency in\nMicrosoft Office (Excel, Word, PowerPoint etc.), ideally using macros.<\/span> · <\/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> · <\/span><\/span><\/span>Exceptional\ntime management skills to be able to complete tasks effectively to deadlines\nand manage multiple tasks.<\/span> · <\/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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