Job Details

(907) Data Scientist - FinStab

About

Description

The main purpose of this position is to leverage industry knowledge and analytical expertise to lead the analysis of data in support of policy and decision-making with respect to the departmental strategic mandate.

Responsibilities

  • Identify value driving opportunities for the application of advanced analytics in achieving the departmental mandate
  • Execute advanced analytics use cases to derive insights across key departmental subject areas
  • Identify, source and assess relevant structured and unstructured data for statistical modelling
  • Prepare data for statistical modelling by identifying data correlations and collinearity and performing required feature engineering
  • Develop robust statistical models that are modular, scalable, deployable, reproducible and versioned for analytics and reporting purposes and ensure that models are validated and meet required performance thresholds
  • Fully document analytics use cases according to best practice standards (including documenting model selection, validation, algorithms and code)
  • Monitor, measure and report on analytical results to ensure appropriate business recommendations and insights
  • The analytical results may require the decision requirements model to be updated
  • Deploy, maintain, enhance, optimise and automate analytics solutions
  • Identify and mitigate risks(i,e model biases) and ensure adherence to ethics principles (fairness, privacy, transparency and accountability) with regard to data and advanced analytics modelling
  • Align work outputs to relevant departmental and South African Reserve Bank strategies, and enterprise information management and governance standards and frameworks
  • Communicate complex analytics concepts in a clear and concise manner to assist researchers and stakeholders in interpreting model outputs and informing decisions and policy actions
  • Collaborate and proactively engage stakeholders from business and functional support areas across the analytics life cycle to ensure solutions are well formulated, deployed, supported and adopted
  • Keep abreast of industry best practices, techniques and technologies and lead the implementation thereof to ensure value-enhancing advanced analytics solutions

Qualifications

  • a Bachelor’s degree (NQF 7) in the science, technology, engineering and mathematics (STEM) field or an equivalent qualification
  • data science certification
  • data analytics or visualisation certification
  • six to eight years’ experience in building, maintaining and optimising data and business intelligence solutions

Application instructions:

  • Applicant must: Be a South African national. Or have a valid South African working permit.

Hiring organization

Hiring organization image

SARB

Employment Type: Job

Job Location: Pretoria, Gauteng, South Africa

Base Salary: Market Related

Closing Date:

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