Job Overview
Senior Artificial Intelligence & Predictive Fintech Analytics Engineer – Oman
Role Type: Senior / Full-Time / Remote
Regional Scope: Sultanate of Oman – AI Banking, Predictive Analytics, Risk Intelligence
Role Overview
This senior role focuses on developing advanced AI-driven financial analytics models that support Oman’s digital banking, risk management, and regulatory modernization priorities. The engineer will design high-precision predictive intelligence engines, integrate structured and unstructured financial datasets, and develop algorithmic frameworks enhancing risk detection, customer intelligence, and real-time process automation.
Core Responsibilities
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Build predictive analytics models for credit scoring, transaction behavior forecasting, micro-pattern anomaly detection, and operational risk prediction.
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Engineer AI pipelines incorporating feature extraction, real-time stream processing, model retraining orchestration, and governance-aligned model explainability.
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Develop financial intelligence frameworks combining structured banking data, payments feeds, customer identity signals, and regulatory datasets into unified decision layers.
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Collaborate with digital banking teams to embed machine learning systems into onboarding flows, credit decision engines, and risk control functions.
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Implement model governance standards ensuring compliance with regulatory transparency, bias detection, and model lifecycle accountability.
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Deliver high-fidelity analytical insights to support supervisory reporting, fintech innovation programs, and operational optimization initiatives.
Qualifications
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7–10+ years in AI engineering, fintech data science, risk intelligence modeling, or ML ops for financial systems.
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Advanced knowledge of predictive modeling, anomaly detection, streaming analytics, and fintech dataset engineering.
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Strong understanding of GCC financial regulatory principles and AI model explainability expectations.
Preferred Competencies
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Experience in neural sequence modeling, graph-based financial networks, or real-time fraud analytics.
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Capability to design AI systems that scale across multi-entity financial institutions.
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