Data Science Expert is responsible for developing advanced analytics, machine learning models, and AI solutions to support strategic and operational objectives across the bank. This role leverages large-scale banking data to enhance customer experience, optimize risk management, improve fraud prevention, strengthen regulatory compliance, and drive data-driven business growth.
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.