Job Overview

Senior Director of AI-Driven Credit Ecosystem Engineering & Intelligent Lending Governance — Saudi Arabia

Role Summary

A specialised remote director-level role responsible for designing Saudi-aligned credit-technology ecosystems, integrating AI-based credit analytics, multidimensional borrower intelligence, and automated lending-governance frameworks suitable for high-scale financial environments.

Key Responsibilities

• Construct AI-driven credit ecosystems combining behavioural-scoring engines, risk-sensitive decision frameworks, and high-frequency loan-performance prediction logic.

• Engineer cloud-native lending orchestration layers that synchronise identity verification, digital-payments pipelines, real-time risk scoring, and automated lifecycle management.

• Develop governance structures ensuring system transparency, borrower fairness, regulatory compliance, and long-term credit sustainability.

• Implement advanced anomaly-detection models capturing emerging borrower behaviours, portfolio stress scenarios, and cyclical risk dynamics.

• Lead distributed quant teams, compliance specialists, and fintech engineers in building high-resilience credit-technology infrastructure.

Required Expertise

• 10–15 years in digital lending, credit-risk engineering, or AI-enhanced financial-decisioning.

• Strong command of Saudi regulatory principles, GCC credit-market structures, and global lending-technology standards.

• Technical mastery in ML modelling, credit-analytics pipelines, and real-time automated decisioning systems.

Professional Attributes

• Highly analytical with strong governance discipline.

• Skilled at integrating complex financial architectures with regulatory requirements.

• Adept at leading global remote engineering groups.

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