First National Bank (FNB) South Africa offers dynamic career paths, structured graduate development programs, and continuous on-the-job learning across banking, data science, IT, and client advisory roles
We are looking for an innovative individual to join the Insights team who is passionate about unlocking the value in data.
This team defines the data usage across Forex and drives decision making by providing data-driven insights into customers and critical business activities.
To plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advanced mathematical models that provide analytical support and interpret insights, to address business opportunities and problems and implement business strategy, with minimal guidance.
Engaging with business to translate business needs into data-driven solutions
Developing and implementing analytical solutions ranging from simple analysis to more complex solutions
Developing machine learning models and performing analytics for the various segments in FXPH
Generating reports with actionable insights to stakeholders
End-to-end development and maintenance of forex predictive models
Monitoring analytic solutions/model performance through time, and using feedback to improve results.
Collaborative relationships within FX and across the FRG to learn, share and leverage data and analytics solutions
Using data to inform strategic decisions which could increase revenue or reduce costs.
Using data and analytics to enhance the customer experience as well as identify monetization opportunities.
Analyzing data and using visualization tools to develop user-friendly interactive views to stakeholders that provides various customer insights
Extracting, cleaning and integrating data from a variety of sources.
Developing ETL processes
Streamlining and optimizing processes
Documenting processes and analytical solutions
Ad hoc data and analytics support for day-to-day operations
Requirements:
Relevant Degree in Data Science, Mathematics, Statistics, Actuarial, Engineering or similar.
Minimum 3 years of experience in a Data Science/Analytics related role
High proficiency in SAS, SQL, Python, PowerBi
Experience in building machine learning models. Proficiency in popular machine learning frameworks
Strong analytical and statistical knowledge
Experience in the banking sector would be advantageous
Good communication skills: Ability to present and communicate technical findings to non-technical audience
Takes initiative, self-starter
Quick learner and ability to make improvements to existing processes
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