Decision Scientist (Stellenbosch)
Capitec
Date: 1 day ago
City: Stellenbosch, Western Cape
Contract type: Full time
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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:
Minimum Experience
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:
- 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 below
- 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.
- Honours Degree in Mathematics or Statistics
- Grade 12 National Certificate / Vocational
- Masters Degree in Mathematics or Statistics
Minimum Experience
- NB: Length of relevant work experience required is also conditional on the qualifications obtained
- Deep understanding of and expert experience in state of the art 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.)
- General business know-how / acumen: (e.g., risk, compliance, operations; e.g., NCR, POPIA, SARB)
- Business analysis and requirements gathering
- Working in cloud environments (e.g., Azure, AWS, and large relational databases)
- Experience in at least two Machine Learning languages (e.g., Python or SAS Viya)
- Expert functional business area (e.g., Credit) environment knowledge and experience
- Deep understanding of state of the art 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.) and can teach to a broad and wide technical audience
- Underlying theory and application of machine learning models; able to understand underlying principles and theory, and able to teach others
- Best practices for decision science (such as reusability, reproducibility, continuous monitoring, etc.)
- Technical understanding
- Developing scorecards from scratch
- Over 6 years’ proven work experience in an analytical science role
- Financial sector experience
- Retail credit environment / industry (credit cycle)
- Working with multiple teams to deliver predictive models into a production environment
- Stakeholder relationship engagement and management at Senior Management and Executive levels
- Capitec Decision Science lifecycle
- Project management methodologies
- Planning, organising and coordination skills
- Numerical Reasoning skills
- Attention to Detail
- Researching skills
- Analytical Skills
- Problem solving skills
- Decision making skills
- Presentation Skills
- Communications Skills
- Interpersonal & Relationship management Skills
- Clear criminal and credit record
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