Requirements

• B.Sc./M.Sc. in Data Science, Statistics, Computer Science, or related field.
  
• Professional certifications in data analytics or machine learning (preferred).
  
• Minimum 4 years in data science or risk analytics roles.
  
• Experience in financial services, particularly lending, is strongly preferred.
  

Data Modelling & Customer Profiling:

• Build and maintain predictive models for customer segmentation and risk assessment.
  
• Develop clustering techniques to better understand customer behaviour patterns.
  

Credit Risk Analytics:

• Create scoring models for default risk, fraud detection, and creditworthiness evaluation.
  
• Develop risk modelling and stress testing frameworks.
  

Model Deployment & Monitoring:

• Work with tech teams to deploy models into production systems.
  
• Monitor model performance and adjust when needed.
  

Stakeholder Engagement & Communication:

• Build relationships with internal stakeholders, customers, and external partners.
  

Compliance & Data Governance:

• Ensure models meet internal policies and regulatory requirements.
  
• Maintain data accuracy, ethics, and security standard.