Senior Decision Scientist

Apply ByWe're on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below: To see what life at Capitec is all about and complete a short assessment, please click here! Once you have completed the above finalize your application by clicking apply belowPurpose StatementTo solve business problems, create new products and services, and improve processes through using the disciplines of data science, quantitative (financial) analysis, and traditional scoring techniques - translating active business data into usable strategic information.To look at ways of analysing and optimising data as it relates to a specific business area; framing data analysis in terms of the decision-making process for questions or business problems posed by a stakeholder. To help build and deliver Capitec's AI strategy, enabling data-led and improved business decision making.To design quantitative advanced analytics models that answer business questions and/or discover opportunities for improvement, increased revenue, or reduced costs.Education (Minimum)Honours Degree in Mathematics or Statistics Education (Ideal Or Preferred)Masters Degree in Mathematics or Statistics Experience and KnowledgeMinimum Experience And Knowledge Length of experience required is also conditional on qualifications obtained Statistical (predictive and classification) model development and deployment principles and techniques; including traditional scoring (logistic regression with binning and missing value replacement, e.g., reject inference), Machine Learning (neural networks, SVM, random forests, etc.), and quantitative analysis (time value of money, etc.)At least one Machine Learning language (e.g., Python or SAS Viya)Business analysis and requirements gatheringGeneral business know-how (e.g., risk, compliance, operations - such as NCR, POPIA, and SARB)Cloud environments (e.g., Azure, AWS, and large relational databases)Functional business area (e.g., Credit) environment knowledge and experienceDeveloping scorecards from scratchUnderlying theory and application of machine learning modelsBest practices for decision science (such as reusability, reproducibility, continuous monitoring, etc.)Ideal Experience And KnowledgeOver 5 years’ experience in an analytical science roleWorking with multiple teams to deliver predictive models into a production environmentFinancial sectorCredit environment / industry (Credit cycle)Bank decision science lifecycleSkillsNumerical Reasoning skills Researching skills Analytical Skills Problem solving skills Decision making skills Planning, organising and coordination skills Attention to Detail Presentation Skills Interpersonal & Relationship management Skills Communications Skills Additional InformationClear criminal and credit record Capitec is committed to diversity and, where feasible, all appointments will support the achievement of our employment equity goals.