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Decision Scientist (Sandton)
Capitec Bank Ltd.
Sandton
On-site
ZAR 550,000 - 800,000
Full time
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Job summary
Capitec Bank recherche des individus motivés pour un rôle en science analytique. Vous serez responsable de la création de nouveaux produits et services, d'analyser des données pour optimiser les processus, tout en développant des modèles d'analytique qui favorisent la prise de décision commerciale. Les candidats doivent détenir au minimum un Honours Degree en Mathématiques ou Statistiques et avoir plus de 6 ans d'expérience pertinente.
Benefits
Qualifications
- Plus de 6 ans d'expérience dans un rôle de science analytique.
- Expérience dans l'industrie du crédit de détail.
- Connaissance des méthodologies de gestion de projet.
Responsibilities
- Analyser et optimiser les données pour résoudre des problèmes commerciaux.
- Aider à développer et à livrer la stratégie AI de Capitec.
- Concevoir des modèles d'analytique avancée.
Skills
Education
Tools
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, please click 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 analyze and optimize data related to specific business areas; framing data analysis in terms of decision-making processes for questions or business problems posed by stakeholders.
- To help build and deliver Capitec's AI strategy, enabling data-led and improved business decision-making.
- To design advanced analytics models that answer business questions and identify opportunities for improvement, increased revenue, or reduced costs.
- Honours Degree in Mathematics or Statistics
- Grade 12 National Certificate / Vocational
- Master's Degree in Mathematics or Statistics
- NB. Length of relevant work experience required depends on qualifications obtained
- Deep understanding and expert experience in statistical model development and deployment, including traditional scoring (logistic regression, binning, missing value replacement), machine learning (neural networks, SVM, random forests), and quantitative analysis (e.g., time value of money)
- General business acumen: risk, compliance, operations (e.g., NCR, POPIA, SARB)
- Business analysis and requirements gathering
- Experience working in cloud environments (e.g., Azure, AWS) and large relational databases
- Experience with at least two machine learning languages (e.g., Python, SAS Viya)
- Expert knowledge of a functional business area (e.g., Credit)
- Understanding of machine learning principles and ability to teach others
- Best practices in decision science (reusability, reproducibility, monitoring)
- Experience developing scorecards from scratch
Ideal Experience:
- Over 6 years in an analytical science role
- Experience in retail credit industry
- Collaborating with teams to deploy predictive models into production
- Stakeholder engagement at senior levels
- Knowledge of project management methodologies
- Planning, organizing, and coordination
- Numerical reasoning
- Attention to detail
- Analytical and researching skills
- Presentation and communication skills
- Interpersonal and relationship management
- Clear criminal and credit record
Capitec is committed to diversity and employment equity.
Capitec Bank is an authorized financial services provider (FSP 46669) and registered credit provider (NCRCP13). Capitec Bank Limited Reg. No: 1980/003695/06
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