Decision Scientist
Capitec BankSandton, Gauteng, South Africa17 days ago
Job descriptionHonours Degree in Mathematics or Statistics Masters Degree in Mathematics or Statistics 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 gathering General 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 experience Developing scorecards from scratch Underlying theory and application of machine learning models Best practices for decision science (such as reusability, reproducibility, continuous monitoring, etc.) Over 5 years’ experience in an analytical science role Working with multiple teams to deliver predictive models into a production environment Financial sector Credit environment / industry (Credit cycle) Bank decision science lifecycle Numerical Reasoning skills Researching skills Analytical Skills Problem solving skills Decision making skills Planning, organising and coordination skills Attention to Detail Presentation Skills Communications Skills Interpersonal & Relationship management Skills Clear criminal and credit record
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We'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 :
1. To see what life at Capitec is all about and complete a short assessment, please click here!
2. Once you have completed the above finalize your application by clicking apply below
Purpose Statement
- To 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)
Education (Ideal or Preferred)
Experience and Knowledge
Minimum Experience and Knowledge :
Ideal Experience and Knowledge :
Skills
Additional Information
Capitec is committed to diversity and, where feasible, all appointments will support the achievement of our employment equity goals.
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Scientist Scientist • Sandton, Gauteng, South Africa
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