Job Overview
Lead Backend Data Analyst β Digital Lending Analytics & Credit Intelligence Platforms
π Location: Doha, Qatar
π Work Model: Remote-First with Regional Fintech Analytics Oversight
Industry Transformation Context
Modern digital lending ecosystems are increasingly driven by predictive analytics, behavioral intelligence, and real-time credit evaluation systems.
Traditional lending models relying on static financial records are rapidly being replaced by AI-powered platforms capable of analyzing dynamic transactional behavior, operational performance, and alternative financial data sources.
This role is designed for a backend-oriented fintech data specialist capable of building the analytical foundation behind intelligent lending ecosystems.
Strategic Mandate
To architect scalable backend analytics infrastructures supporting:
- Digital lending intelligence
- Credit risk analytics
- AI-driven borrower profiling
- Financial behavior analysis
- Automated lending performance monitoring
Core Responsibilities
1. Lending Data Infrastructure Development
- Build backend analytical environments supporting loan origination, underwriting, and repayment analytics
- Design scalable data pipelines aggregating customer financial activity across multiple sources
- Maintain highly structured lending datasets optimized for predictive modeling and operational reporting
2. Credit Intelligence & Risk Analytics
- Analyze borrower behavior, repayment patterns, and credit exposure metrics
- Develop backend scoring models supporting lending decision optimization
- Build predictive dashboards monitoring portfolio health and repayment performance
3. AI & Predictive Financial Analytics
- Collaborate with machine learning teams on risk prediction and behavioral scoring initiatives
- Build feature engineering pipelines for AI-driven lending models
- Develop backend monitoring systems evaluating model performance and operational accuracy
4. Performance Monitoring & Financial Reporting
- Generate executive-level analytics reports on loan performance, approval trends, and operational efficiency
- Design automated KPI dashboards supporting strategic decision-making
- Monitor lending ecosystem performance in real time
5. Data Governance & Compliance
- Ensure analytical infrastructures comply with financial governance and data privacy standards
- Build audit-ready reporting environments supporting operational transparency
- Maintain data integrity across backend financial systems
Technical Qualifications
- 5β10 years in backend analytics, fintech intelligence, lending analytics, or financial data operations
- Advanced expertise in:
- SQL and relational databases
- Python or R
- Data warehousing systems
- Power BI / Tableau
- Financial data modeling
- API integrations
- ETL pipeline management
- Experience working with:
- Digital lending platforms
- Credit analytics systems
- Consumer finance datasets
- Financial risk reporting environments
Preferred Capabilities
- Familiarity with machine learning workflows and predictive analytics
- Experience in alternative credit scoring ecosystems
- Understanding of consumer financial behavior analytics
- Knowledge of cloud-native fintech infrastructures
Impact Statement
You will help build the analytical intelligence powering the future of AI-driven digital lending across emerging fintech ecosystems.
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