Job Overview
Distinguished Engineer – AI Credit Underwriting & Autonomous Lending Systems
Primary Market: United Arab Emirates 🇦🇪
Classification: Elite Technical Leadership (Credit Intelligence Systems)
System Purpose
Design a fully autonomous credit decisioning ecosystem capable of:
- Underwriting individuals and enterprises in real-time
- Continuously learning from repayment behavior and macro signals
- Optimizing credit allocation for maximum yield with controlled risk exposure
System Components Under Your Ownership
1. Credit Intelligence Engine
- Multi-dimensional risk scoring using:
- Transactional data
- Behavioral analytics
- Alternative data (non-traditional financial signals)
- Dynamic credit limit adjustment models
2. Decision Automation Layer
- Real-time underwriting decisions (<300ms latency)
- Policy engines combining rule-based and AI-driven logic
- Continuous model recalibration based on live portfolio performance
3. Portfolio Optimization Engine
- Balance yield vs default risk across entire credit book
- Scenario modeling under macroeconomic stress conditions
- Adaptive pricing strategies (interest rates, fees)
4. Collections & Recovery Intelligence
- Predictive delinquency detection
- Automated intervention strategies
- Behavioral nudging systems to improve repayment rates
Performance Contract (Non-Negotiable Metrics)
| Metric | Target |
|---|---|
| Decision Latency | < 300ms |
| Default Rate Reduction | ≥ 30% vs baseline |
| Credit Approval Accuracy | ≥ 95% predictive reliability |
| Portfolio Yield Optimization | +20% improvement |
Technology Depth
- Machine learning (deep learning, gradient boosting, probabilistic models)
- Real-time data pipelines and feature stores
- High-throughput decision engines
- Cloud-native distributed systems
Regulatory Alignment
- UAE financial regulatory frameworks for credit and lending
- Compliance with consumer protection and fair lending practices
- Full auditability of AI decisions (explainable AI requirements)
Candidate Profile
- 12–18 years in credit risk, fintech AI systems, or quantitative finance
- Proven track record in production-grade credit systems with real capital exposure
- Ability to balance statistical modeling with real-world financial constraints
Compensation
- $300,000 – $650,000 annually
- Performance incentives tied directly to portfolio profitability and risk metrics
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