Job Overview

Director – AI-Driven Risk Analytics & Predictive Compliance & Financial Intelligence Systems (Kuwait)

Location: Remote — supporting Kuwait’s financial-sector modernization and data-intelligence transformation

Employment Type: Full-Time, Remote

Seniority Level: Director / Executive Technical Lead

Domain Focus: AI/ML Risk Analytics, RegTech Automation, Predictive Compliance Systems, High-Volume Financial Data Engineering, Advanced Governance Models

Role Overview

The Director of AI-Driven Risk Analytics & Predictive Compliance Systems will design and operationalize Kuwait-aligned next-generation RegTech ecosystems optimized for high-volume risk analysis, automated regulatory alignment, intelligent anomaly detection, and AI-governed financial-data assurance. The role requires engineering advanced machine-learning pipelines, designing high-integrity compliance engines, constructing real-time exposure-intelligence dashboards, and establishing secure data-governance frameworks that meet evolving regional regulatory requirements.

Key Responsibilities

• Architect AI/ML-powered compliance platforms integrating real-time rule interpretation, model-driven detection engines, automated evidence capture, and high-volume transaction-risk scoring.

• Develop predictive-risk intelligence models supporting AML anomaly detection, sanctions-screening optimization, pattern-analysis engines, and probabilistic exposure forecasting.

• Build enterprise-grade data-governance structures ensuring data integrity, lineage auditing, controlled access, encryption compliance, and responsible AI oversight.

• Engineer cloud-native microservices for large-scale data ingestion, distributed analytics computation, and real-time regulatory-reporting orchestration.

• Lead technical standardization for risk dashboards, compliance-automation pipelines, regulatory-adaptation frameworks, and institution-wide data-integrity controls.

• Produce comprehensive domain documentation including governance standards, model-explainability frameworks, risk-intelligence ontologies, and compliance architecture maps.

Required Experience

• 8–12 years in RegTech engineering, AI/ML-based financial-risk systems, compliance-platform architecture, or enterprise-level financial analytics.

• Deep expertise in supervised and unsupervised learning systems, anomaly-detection engineering, AML analytics, and high-integrity data-governance frameworks.

• Strong understanding of GCC regulatory requirements and Kuwait’s fintech-transformation directives.

• Demonstrated capability to architect large-scale, high-complexity compliance and risk-intelligence ecosystems.

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