Decision Scientist

2 weeks ago

Sandton, Gauteng, South Africa Capitec Full time

Apply By
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

*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)*

  • Honours Degree in Mathematics or Statistics

Education (Ideal Or Preferred)

  • Masters Degree in Mathematics or Statistics

*Experience and Knowledge
Minimum 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 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.)

Ideal Experience And Knowledge

  • 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

Skills

  • 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

*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.

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