Job Overview
Lead Regulatory Technology & AI Compliance Engineer – Qatar
Location: Remote (Global)
Regional Focus: Qatar – Fintech Compliance Engineering, AI-Driven RegTech, Financial Crime Intelligence
Role Classification: Senior Technical & Regulatory Engineering Leadership
Role Overview
Qatar’s expanding fintech sector requires highly specialized RegTech engineering capabilities, especially as financial crime prevention, AI model governance, and digital-asset oversight frameworks accelerate. This remote role is built for a senior engineer capable of creating sophisticated RegTech systems that operate at international compliance standards while aligning with emerging regional rules.
The Lead RegTech & AI Compliance Engineer will design algorithmic compliance engines, risk-scoring pipelines, intelligent case-management systems, and fully automated supervisory-technology modules capable of supporting high-volume fintech operations across borders.
Core Responsibilities
1. AI-Driven Compliance Systems Engineering
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Build scalable AML/CTF intelligence frameworks integrating machine learning classification models, graph-based entity-linking, and anomaly-detection pipelines.
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Architect explainable-AI (XAI) modules for regulator-auditable decision transparency.
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Deploy predictive risk-scoring engines capable of real-time behavioral analysis across payments, remittances, and digital-asset ecosystems.
2. Regulatory Architecture & Supervisory Automation
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Translate complex regulatory obligations into machine-executable compliance rules.
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Engineer automated reporting frameworks generating regulator-ready outputs across transactions, risk events, alerts, and incident analysis.
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Develop advanced KYC/KYB orchestration systems integrating biometric ID, document verification, authentication scoring, and ongoing due-diligence automation.
3. Secure Data Infrastructure & Governance
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Implement secure multi-tenant compliance data platforms with encryption-by-design, privacy-preserving computation layers, and secure API mediation.
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Maintain architectural governance covering data lineage, model accuracy, threshold calibration, and digital forensics readiness.
Professional Requirements
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Technical mastery in AI model development, AML systems, regulatory automation, and graph-based financial crime intelligence.
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Strong knowledge of global AML standards, GCC compliance frameworks, and cross-border fintech supervisory trends.
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8–12 years in fintech engineering, RegTech development, or advanced compliance technology leadership.
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