Responsibilities:

Advanced Analytics & Data Science

• Analyze large and complex datasets from core banking systems, digital channels, CRM, and external sources.
• Develop predictive and prescriptive models to support business decision-making.
• Generate actionable insights to improve customer acquisition, retention, and profitability.
• Design and monitor performance metrics for banking products and services.

Customer & Marketing Analytics

• Develop customer segmentation, churn prediction, and cross-sell/up-sell models.
• Analyze customer behavior across digital and traditional banking channels.
• Support personalized marketing campaigns through advanced analytics.
• Improve customer lifetime value and engagement strategies.

AI & Digital Banking Innovation

• Leverage AI, machine learning, and Generative AI technologies to improve banking processes.
• Design recommendation engines and intelligent decision-support systems.
• Participate in digital transformation and analytics innovation projects.
• Evaluate emerging technologies and data science methodologies.

Regulatory Compliance & Model Governance

• Ensure compliance with Basel regulations, IFRS 9, AML requirements, and internal model governance standards.
• Maintain documentation for model development, validation, and audit reviews.
• Support regulatory reporting and model risk management activities.

Required Qualifications

• Bachelor‘s Degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Finance, Engineering, or related disciplines.
• At least 8 years of experience in Data Science, Machine Learning, Analytics, or Quantitative Modeling.
• At least 3 years of experience within Banking, Financial Services, Fintech, or Insurance industries.
• Experience developing analytical solutions in a regulated environment is highly preferred.