Job Overview

Director of RegTech Intelligence & Automated Compliance & Financial Integrity Systems – Oman

Location: Remote (aligned with Omani regulatory and financial system requirements)

Role Type: Director-Level · RegTech · Compliance Automation · Financial Intelligence

Industry Focus: RegTech Platforms · AI-Driven Compliance · Digital Governance Systems

Position Overview

This role focuses on designing and operationalizing advanced RegTech ecosystems for Oman’s evolving fintech environment. The Director will lead the development of predictive compliance engines, real-time risk visibility platforms, and automated governance frameworks optimized for large-scale financial operations.

The ideal candidate combines data science expertise, regulatory domain depth, and large-scale systems architecture experience. The mission is to create self-evolving compliance systems that continuously detect risks, reduce manual operations, enhance supervisory insight, and enable financial institutions to meet international regulatory benchmarks with precision.

Key Responsibilities

• Engineer AI-powered compliance engines for AML monitoring, sanctions detection, identity intelligence, and customer risk scoring.

• Build automated reporting pipelines that generate regulator-ready dashboards, alerts, and audit trails.

• Create multi-layer digital governance frameworks incorporating automated controls, workflow enforcement, and dynamic compliance scoring.

• Develop behavioral analytics models detecting fraud patterns, transaction anomalies, and emerging financial threats.

• Implement secure identity verification systems using biometrics, device fingerprints, digital ID frameworks, and continuous authentication.

• Lead data infrastructure design integrating streaming analytics, high-velocity ingestion, and federated risk modeling.

• Establish modernization blueprints aligning Oman’s financial sector with advanced global RegTech practices.

Required Expertise

• 10–15 years in RegTech, digital compliance, financial intelligence, or risk architecture.

• Expert proficiency in ML-driven anomaly detection, predictive risk modeling, and automated compliance workflows.

• Strong knowledge of AML, KYC, supervisory reporting, and cross-border compliance standards.

• Extensive experience building cloud-native analytics ecosystems and real-time data streaming platforms.

• Ability to create unified, intelligent, automated regulatory systems at national or large-enterprise scale.

Are you excited about this opportunity?

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