Data Scientist – KwaZulu-Natal Durban

Quantitative Analyst / Data Scientist – La Lucia / Durban
Primary objective
Develop, manage and monitor advanced and relevant predictive models, provide advanced analytical support to business units, critically analyze and advise the business on data-driven business value, and create and maintain data, dashboards and accurate management reports.

Principle results
Development of a model

  • Development of new predictive models in line with business needs.
  • Successful deployment of predictive models.
  • Engagement with key stakeholders around business requirements for models

Model management

  • Manage monthly monitoring and regular updates of existing predictive models.
  • Prepare analysis/comments for model management meetings.
  • Reports to third-party funders on model management.
  • Ensure that the model management process is conducted in accordance with defined policies.
  • Query existing patterns and identify possible red flags
  • Find the latest model building methodologies

Data analysis to meet business needs

  • Ad-hoc analytics/data science projects as per business needs
  • Monthly analysis on key credit risk areas (loss/credit control)
  • Help build the data science capabilities of the analytics team
  • Proactive business engagement to understand analytical requirements
  • Proactive business feedback on value-added data-driven analytics
  • Automating

Data development and maintenance

  • Assist and advise on the creation and maintenance of data in an optimal way

Leadership/Staff Training

Minimum requirements

  • Honors Bachelor in Statistics/Mathematics
  • Prefer – Master in Statistics/Mathematics


  • 2-5 years of experience in developing rating systems and credit risk analysis (detail)
  • Prefer: 5 to 8 years of experience in the development of scoring systems and credit risk analysis (retail) – including 2 at senior level

Favorite Industry – Financial / credit risk analysis

Technical (at least some of the skills below will be required)

  • SQL coding
  • R
  • Advanced Excel
  • Python (advantageous)
  • Denodo (advantageous)
  • SAS (advantageous)
  • Predictive modeling or financial modeling
  • Machine learning (advantageous)
  • Exposure to IFRS9 modeling (very advantageous)
  • Ability to work with large amounts of data

Generic skills

  • Analytical, critical and logical thinking
  • Understands the need for data-driven decisions
  • Ability to read and assimilate a specification of data requirements
  • proactive personality
  • Change tolerance
  • Attention to detail
  • Responsibility and Ownership of Work Tasks
  • Motivated
  • Ability to work in a team and as an individual
  • Respect the project management protocol
  • Enthusiasm/interest in credit risk management
  • Sense of humor
  • Resilience
  • Tenacity
  • Ability to work under pressure
  • Good time management.

Desired skills:

  • Financial modeling
  • SQL
  • Advanced Excel
  • Python
  • Predictive modeling
  • Denodo

Find out more/Apply to this position

Sean N. Ayres