Job Overview
Quantitative Risk & Fraud Analytics Lead (Remote – Qatar)
(Structured Analytical Role Specification Format)
Role Classification
- Function: Risk Analytics / Financial Crime Prevention
- Seniority: Lead / Principal Level
- Domain Focus: Fraud Detection, Credit Risk, Transaction Monitoring
Position Objective
To design and operationalize advanced analytics frameworks that detect, predict, and prevent financial risks across digital financial platforms. This role requires a balance of quantitative rigor, engineering awareness, and regulatory alignment.
Functional Responsibilities
A. Predictive Modeling
- Develop machine learning models for:
- Fraud detection (transactional anomalies, behavioral patterns)
- Credit risk scoring (PD, LGD, EAD modeling)
- Apply advanced techniques such as gradient boosting, neural networks, and clustering
B. Real-Time Risk Systems
- Build low-latency scoring systems capable of evaluating transactions in real time
- Integrate models into production environments using MLOps best practices
C. Data Strategy
- Work with large-scale structured and unstructured financial datasets
- Design feature engineering pipelines to enhance model performance
- Utilize graph-based analytics for detecting fraud networks
D. Governance & Compliance
- Ensure model transparency and explainability for regulatory audits
- Align systems with AML, KYC, and financial crime compliance frameworks
- Document methodologies for internal and external validation
Technical Stack Expectations
- Programming: Python (primary), R (optional)
- ML Frameworks: Scikit-learn, TensorFlow, PyTorch
- Data Tools: Spark, SQL, cloud data warehouses
- MLOps: CI/CD pipelines, model monitoring, versioning tools
Experience Requirements
- 7–14+ years in data science, quantitative risk, or fraud analytics
- Demonstrated deployment of production-grade machine learning systems
- Strong foundation in statistics, probability, and financial risk modeling
Performance Metrics
- Reduction in fraud loss rates
- Improvement in model precision/recall
- Decrease in false positives in transaction monitoring
- Efficiency gains in risk decisioning processes
Work Conditions
- Fully remote with Qatar time zone alignment
- Access to large-scale financial datasets and advanced computing infrastructure
- Collaboration with international teams across risk, engineering, and compliance
Compensation Framework
- Competitive international salary structure
- Performance-linked bonuses tied to risk reduction outcomes
- Long-term engagement with high-impact analytical challenges
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