Job Overview
Financial Data Analyst – Retail Banking Intelligence & Customer Financial Behavior Analytics
Riyadh, Saudi Arabia
A large-scale fintech-driven banking modernization ecosystem is seeking a detail-oriented Financial Data Analyst – Retail Banking Intelligence & Customer Financial Behavior Analytics to support advanced analytics operations across consumer banking, credit systems, and digital financial services.
This role focuses on transforming high-volume retail banking data into actionable insights that enhance customer experience, improve credit decisioning, optimize product offerings, and strengthen financial risk visibility across digital banking platforms.
The organization is undergoing major transformation toward AI-driven banking, where customer behavior, spending patterns, savings trends, and credit usage are continuously analyzed to create personalized financial ecosystems for millions of users.
The selected analyst will play a critical role in shaping data-driven banking strategies through behavioral analytics, predictive modeling, and financial performance optimization.
Strategic Role Overview
The Financial Data Analyst will support enterprise banking intelligence initiatives by analyzing customer financial behavior, credit performance, and product engagement metrics to drive strategic decision-making.
This role integrates financial analytics, customer intelligence, banking data systems, and predictive modeling into a unified retail banking analytics function.
Core Responsibilities
- Analyze retail banking datasets to identify customer behavior trends and financial patterns
- Build dashboards tracking savings, spending, credit usage, and digital banking engagement
- Develop predictive models for customer churn, credit risk, and product adoption likelihood
- Support credit scoring optimization through behavioral and transactional data analysis
- Conduct segmentation analysis for personalized financial product targeting
- Evaluate loan performance and repayment behavior across customer portfolios
- Collaborate with data engineering teams to improve data quality and accessibility
- Design reporting frameworks for executive banking decision support
- Monitor financial product performance across digital banking channels
- Analyze fraud indicators and anomalous transaction patterns
- Contribute to AI-driven personalization initiatives for banking services
- Translate complex datasets into actionable insights for business stakeholders
Candidate Requirements
- Bachelor’s degree in Finance, Economics, Statistics, Data Analytics, or related discipline
- 4–8 years of experience in financial data analysis or banking analytics
- Strong SQL, Python, or BI tool proficiency (Power BI, Tableau, etc.)
- Understanding of retail banking operations and credit systems
- Experience in predictive modeling or statistical analysis
- Strong attention to detail and analytical thinking skills
- Familiarity with customer behavior analytics is highly preferred
- Ability to communicate insights clearly to non-technical stakeholders
Specialized Technical Domains
- Retail banking analytics
- Customer behavioral modeling
- Credit risk data analysis
- Financial segmentation systems
- Predictive churn modeling
- Banking KPI dashboards
- Fraud pattern analytics
- Loan performance tracking
- Digital banking intelligence
- Customer lifecycle analytics
Executive Benefits
- Tax-free competitive salary structure
- Performance-based analytics incentives
- Advanced banking data infrastructure access
- International healthcare and wellness coverage
- Exposure to large-scale AI banking transformation programs
- Career advancement in fintech analytics leadership
- Participation in regional banking innovation initiatives
- Long-term professional development opportunities
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