Job Overview
Senior AI-Driven Financial Risk Intelligence Strategist (Remote) – Saudi Arabia
Functional Domain
AI in Finance | Risk Intelligence | Predictive Financial Analytics
Role Philosophy
This role is designed for a quantitative strategist who understands that risk is no longer reactive—it is predictive, behavioral, and algorithmically inferred.
You will architect AI-driven systems that anticipate financial threats before they materialize, transforming risk management into a real-time intelligence function.
Primary Objectives
1. AI Risk Modeling & Deployment
- Develop advanced models for:
- Fraud detection (graph-based anomaly detection)
- Credit risk scoring using alternative data
- Behavioral transaction risk profiling
- Deploy models into production with real-time inference pipelines
2. Financial Data Engineering
- Design pipelines ingesting:
- Transactional data streams
- Open banking APIs
- Non-traditional datasets (telco, behavioral biometrics)
- Ensure data integrity, lineage, and governance
3. Regulatory Intelligence Alignment
- Align AI systems with Saudi financial regulatory frameworks
- Ensure explainability (XAI) for audit and compliance purposes
- Implement model transparency for regulatory scrutiny
4. Decision Intelligence Systems
- Build decision engines that:
- Trigger automated interventions
- Score risk dynamically per transaction/session
- Integrate with payment systems, lending platforms, and digital wallets
5. Continuous Model Optimization
- Implement reinforcement learning loops
- Monitor model drift, bias, and performance degradation
- Maintain high precision-recall balance in fraud detection systems
Ideal Candidate
Technical Depth
- Strong background in:
- Machine Learning (TensorFlow, PyTorch)
- Graph analytics, NLP in financial contexts
- Experience with real-time analytics frameworks (Spark Streaming, Flink)
Domain Knowledge
- Deep understanding of:
- Financial crime typologies
- Credit risk frameworks
- Regulatory compliance structures
Analytical Mindset
- Ability to translate ambiguous risk patterns into quantifiable models
- Expertise in probabilistic modeling and statistical inference
Success Indicators
- Reduction in fraud losses (quantified in %)
- Improvement in credit risk prediction accuracy
- Regulatory audit acceptance of AI-driven decisions
- Real-time risk scoring latency benchmarks
Remuneration Structure
- High-value remote compensation aligned with AI specialization
- Research and innovation incentives
- Access to advanced computational infrastructure
Are you excited about this opportunity?
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