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Decision Scientist

Capitec Bank

Sandton

On-site

ZAR 300 000 - 400 000

Full time

Today
Be an early applicant

Job summary

A leading financial institution in Gauteng is seeking an energetic individual for a data-driven role. Responsibilities include solving business problems and improving processes through data analysis, while collaborating on AI strategies. Candidates should have an Honours Degree in Mathematics or Statistics, strong analytical skills, and prior experience in a relevant field. The position offers competitive opportunities with a commitment to diversity and equity.

Qualifications

  • Statistical model development and deployment principles.
  • Experience in analytical science role for over 5 years.
  • Knowledge of the credit environment and bank decision science lifecycle.

Responsibilities

  • Solve business problems and improve processes using data science.
  • Design quantitative advanced analytics models for business improvement.
  • Help build and deliver Capitec's AI strategy.

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

Education

Honours Degree in Mathematics or Statistics
Masters Degree in Mathematics or Statistics

Tools

Python
SAS Viya
Azure
AWS
Job description

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:

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)
  • 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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