Decision Scientist (Stellenbosch)

Capitec Bank Ltd.; Stellenbosch; On-site; ZAR 750,000 - 1,200,000; Full time

Job summary

A leading bank in South Africa seeks an experienced data scientist to enhance its AI strategy. The role involves developing analytical models to solve business challenges, improving decisions through quantifiable insights. Candidates with a strong educational background in Mathematics or Statistics and over 6 years of experience in analytics are encouraged to apply. This position offers the opportunity to contribute to significant business development while aligning with a commitment to diversity within the workforce.

Qualifications

• Over 6 years' experience in analytical science.
• Expert in statistical model development.
• Deep understanding of machine learning principles.

Responsibilities

• Develop advanced analytics models to answer business questions.
• Optimise data analysis for decision-making processes.
• Engage with stakeholders to deliver predictive models.

Skills

Planning

Analytical Skills

Attention to Detail

Communication Skills

Interpersonal Skills

Education

Honours Degree in Mathematics or Statistics

Masters Degree in Mathematics or Statistics

Grade 12 National Certificate

Tools

Python

SAS Viya

AWS

Azure

Job description

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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, pleaseclick here!

2. 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.

Education (Minimum)

• Honours Degree in Mathematics or Statistics
• Grade 12 National Certificate / Vocational

Education (Ideal or Preferred)

• Masters Degree in Mathematics or Statistics

Knowledge and 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.)
• Developing scorecards from scratch

Ideal Knowledge and Experience:

• Over 6 years’ proven work experience in an analytical science role
• 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
• Project management methodologies

Skills

• Planning, organising and coordination skills
• Numerical Reasoning skills
• Attention to Detail
• Researching skills
• Analytical Skills
• Presentation Skills
• Communications Skills
• Interpersonal & Relationship management Skills

Additional Information

• Clear criminal and credit record

Capitec is committed to diversity and, where feasible, all appointments will support the achievement of our employment equity goals.

Capitec Bank is an authorised financial services provider (FSP 46669) and registered credit provider (NCRCP13). Capitec Bank Limited Reg. No: 1980/003695/06