Job Overview
Job Title: Remote AI-Driven Credit Scoring Specialist
Location: Remote (Kuwait)
Department: Advanced Financial Analytics
Position Overview
The AI-Driven Credit Scoring Specialist will design and optimize machine learning models for credit risk assessment, leveraging alternative data sources to enhance lending decisions in a fintech environment.
Key Responsibilities
Model Development & Optimization
- Build predictive credit scoring models using structured and unstructured data
- Apply machine learning techniques such as regression, classification, and ensemble methods
- Continuously refine models based on performance metrics and new datasets
Data Engineering & Integration
- Aggregate and preprocess financial, behavioral, and transactional data
- Integrate alternative data sources (e.g., mobile usage, digital payment behavior)
- Ensure data quality, consistency, and governance
Risk Analytics
- Evaluate borrower risk profiles and probability of default
- Develop risk segmentation strategies
- Support lending teams with actionable insights
Deployment & Monitoring
- Collaborate with engineering teams to deploy models into production
- Monitor model drift and recalibrate algorithms as needed
- Ensure explainability and transparency of AI models
Technical Skill Set
- Proficiency in Python, TensorFlow, or Scikit-learn
- Experience with big data tools and cloud platforms
- Knowledge of statistical modeling and probability theory
- Familiarity with credit bureau data and lending systems
Experience & Qualifications
- 4–8 years in data science, fintech analytics, or credit risk modeling
- Strong background in machine learning applications within finance
- Understanding of regulatory expectations around AI in financial services
Success Indicators
- Improved credit approval accuracy
- Reduction in default rates
- Enhanced model interpretability and compliance
Compensation & Benefits
- Competitive salary based on technical expertise
- Fully remote work environment
- Performance-based incentives
- Access to AI and fintech research resources
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