• Develop and maintain dashboards and reports to monitor financial KPIs, customer behaviour, and risk trends
• Analyse banking data to provide insights for credit risk, product performance, and customer segmentation strategies
• Collaborate with finance, compliance, and product teams to provide data support for business decisions
• Identify data patterns and trends to support strategic planning and regulatory reporting
• Present insights in a clear and business-friendly format for executive and operational stakeholders
• Assist with process automation and the development of data pipelines for continuous reporting

 
Job Experience and Skills Required:

• Education: Bachelor’s Degree in Data Science, Statistics, Finance, Actuarial Science, or a related quantitative field (Post-graduate qualification advantageous)
• Experience: 2–5 years’ experience in a data analytics role within a banking, financial services, or fintech environment
• Skills:
• Advanced SQL and Python skills
• Experience using SAS, Power BI or Tableau for reporting and data visualisation
• Strong understanding of financial metrics, credit risk modelling, and customer analytics
• Excellent communication skills, with the ability to interpret complex data
• Ability to work across compliance, finance, and operational departments
• Detail-oriented, and analytical thinker, with strong problem-solving capabilities

 
Apply now! Please send your CV to *****@*****.co.za
 
For more exciting Finance & Banking Analytics vacancies, please visit: www.********.co.za
 
I also specialise in recruiting in the following:

• Banking & Financial Analytics
• Risk & Compliance Analytics
• Credit Modelling

 
If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles/positions.

For more information, contact:
Louide le Roux
Recruitment Consultant – Finance & Data Analytics
Connect with me on LinkedIn! www.********.co.za

• Develop and maintain dashboards and reports to monitor financial KPIs, customer behaviour, and risk trends
• Analyse banking data to provide insights for credit risk, product performance, and customer segmentation strategies
• Collaborate with finance, compliance, and product teams to provide data support for business decisions
• Identify data patterns and trends to support strategic planning and regulatory reporting
• Present insights in a clear and business-friendly format for executive and operational stakeholders
• Assist with process automation and the development of data pipelines for continuous reporting

 
Job Experience and Skills Required:

• Education: Bachelor’s Degree in Data Science, Statistics, Finance, Actuarial Science, or a related quantitative field (Post-graduate qualification advantageous)
• Experience: 2–5 years’ experience in a data analytics role within a banking, financial services, or fintech environment
• Skills:
• Advanced SQL and Python skills
• Experience using SAS, Power BI or Tableau for reporting and data visualisation
• Strong understanding of financial metrics, credit risk modelling, and customer analytics
• Excellent communication skills, with the ability to interpret complex data
• Ability to work across compliance, finance, and operational departments
• Detail-oriented, and analytical thinker, with strong problem-solving capabilities

 
Apply now! Please send your CV to *****@*****.co.za
 
For more exciting Finance & Banking Analytics vacancies, please visit: www.********.co.za
 
I also specialise in recruiting in the following:

• Banking & Financial Analytics
• Risk & Compliance Analytics
• Credit Modelling

 
If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles/positions.

For more information, contact:
Louide le Roux
Recruitment Consultant – Finance & Data Analytics
Connect with me on LinkedIn! www.********.co.za

• Develop and maintain dashboards and reports to monitor financial KPIs, customer behaviour, and risk trends
• Analyse banking data to provide insights for credit risk, product performance, and customer segmentation strategies
• Collaborate with finance, compliance, and product teams to provide data support for business decisions
• Identify data patterns and trends to support strategic planning and regulatory reporting
• Present insights in a clear and business-friendly format for executive and operational stakeholders
• Assist with process automation and the development of data pipelines for continuous reporting

 
Job Experience and Skills Required:

• Education: Bachelor’s Degree in Data Science, Statistics, Finance, Actuarial Science, or a related quantitative field (Post-graduate qualification advantageous)
• Experience: 2–5 years’ experience in a data analytics role within a banking, financial services, or fintech environment
• Skills:
• Advanced SQL and Python skills
• Experience using SAS, Power BI or Tableau for reporting and data visualisation
• Strong understanding of financial metrics, credit risk modelling, and customer analytics
• Excellent communication skills, with the ability to interpret complex data
• Ability to work across compliance, finance, and operational departments
• Detail-oriented, and analytical thinker, with strong problem-solving capabilities

 
Apply now! Please send your CV to *****@*****.co.za
 
For more exciting Finance & Banking Analytics vacancies, please visit: www.********.co.za
 
I also specialise in recruiting in the following:

• Banking & Financial Analytics
• Risk & Compliance Analytics
• Credit Modelling

 
If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles/positions.

For more information, contact:
Louide le Roux
Recruitment Consultant – Finance & Data Analytics
Connect with me on LinkedIn! www.********.co.za

• Develop and maintain dashboards and reports to monitor financial KPIs, customer behaviour, and risk trends
• Analyse banking data to provide insights for credit risk, product performance, and customer segmentation strategies
• Collaborate with finance, compliance, and product teams to provide data support for business decisions
• Identify data patterns and trends to support strategic planning and regulatory reporting
• Present insights in a clear and business-friendly format for executive and operational stakeholders
• Assist with process automation and the development of data pipelines for continuous reporting

 
Job Experience and Skills Required:

• Education: Bachelor’s Degree in Data Science, Statistics, Finance, Actuarial Science, or a related quantitative field (Post-graduate qualification advantageous)
• Experience: 2–5 years’ experience in a data analytics role within a banking, financial services, or fintech environment
• Skills:
• Advanced SQL and Python skills
• Experience using SAS, Power BI or Tableau for reporting and data visualisation
• Strong understanding of financial metrics, credit risk modelling, and customer analytics
• Excellent communication skills, with the ability to interpret complex data
• Ability to work across compliance, finance, and operational departments
• Detail-oriented, analytical thinker, with strong problem-solving capabilities

 
Apply now! Please send your CV to *****@*****.co.za
 
For more exciting Finance & Banking Analytics vacancies, please visit: www.********.co.za
 
I also specialise in recruiting in the following:

• Banking & Financial Analytics
• Risk & Compliance Analytics
• Credit Modelling

 
If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles/positions.

For more information, contact:
Louide le Roux
Recruitment Consultant – Finance & Data Analytics
Connect with me on LinkedIn! www.********.co.za