Job Overview

Executive Director of Transaction Intelligence, AI-Driven AML Countermeasures & Behavioral Economic Fraud Modeling — Qatar

Location: Remote (Aligned with Qatar’s AML modernization initiatives)

Employment Type: Full-Time Executive Leadership

Seniority: Executive Director / Transaction Intelligence Authority

Role Scope

This leadership role governs the advanced machine-learning architecture powering transaction intelligence, behavioral AML detection, economic fraud modeling, entity resolution engines, and cross-jurisdictional risk scoring.

The goal is to architect predictive safeguards that adapt to suspicious behavior evolution while maintaining transactional fluidity and regulatory defensibility.

Detection Strategy Layers

Behavioral Economics Modeling

• Construct utility curve inference engines predicting abnormal deviation from financial rationality.

• Integrate binomial behavior drift models detecting subtle incremental laundering strategies.

Entity Resolution

• Build identity triangulation graphs linking email entropy, device fingerprinting, address vectors, and peer transaction clustering.

• Apply weighted edge confidence indices to reduce false positive identity collisions.

AI-Driven AML Intelligence

• Deploy contrastive learning models distinguishing benign anomalies from laundering proxies.

• Engineer synthetic data augmentation pipelines to simulate edge case laundering patterns.

Cross-Jurisdiction Coordination

• Map regulatory policy tolerance surfaces across multiple corridor endpoints.

• Apply transaction provenance tracing resolving cross-network laundering detours.

Fraud Propagation Defense

• Integrate temporal graph neural networks modeling suspicious transaction sequencing probability.

• Detect structural hole exploitation in network topology where visibility gaps hide laundering micro-cells.

Explainability & Auditability

• Generate interpretable risk layer decompositions mapping:

  • anomaly contribution factors,

  • network proximity risks,

  • temporal burst signatures.

Organizational Impact

• Reduce compliance cost friction through proactive anomaly deflection.

• Increase corridor-level trust for international correspondent partnering.

Qualifications

• 12+ years in AML intelligence, economic behavior modeling, or entity resolution systems.

• Master’s or PhD in Computational Economics, AI, or Applied Mathematics.

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