Full Time

Senior Vice President of AI-Powered Risk & Credit and Liquidity Analytics

  • Remote
  • Specialism : Senior Vice President of AI-Powered Risk & Credit and Liquidity Analytics
  • Post Date: October 17, 2025
  • Expires In : 90 Days
  • Apply Before: January 17, 2026
Job Overview

Senior Vice President of AI-Powered Risk, Credit, and Liquidity Analytics – Remote (Kuwait)

Location: Remote, State of Kuwait

Employment Type: Full-Time | Executive-Level | Financial Intelligence Systems

Overview

The Senior Vice President of AI-Powered Risk, Credit, and Liquidity Analytics will lead the global design and governance of AI-driven financial intelligence platforms dedicated to transforming credit decisioning, liquidity prediction, and systemic risk management in Kuwait’s fintech ecosystem. This position demands deep analytical sophistication, algorithmic governance insight, and high-impact financial modeling leadership at a global standard.

Key Responsibilities

  • Build AI-powered ecosystems for multi-layered risk assessment, predictive liquidity analytics, and dynamic credit modeling.

  • Design algorithmic frameworks that integrate explainable AI and ethical governance for financial decision automation.

  • Oversee creation of cross-institutional data lakes, real-time dashboards, and embedded risk intelligence systems.

  • Lead AI model governance frameworks to ensure regulatory compliance and model auditability across financial institutions.

  • Drive collaboration with banks, credit bureaus, and fintechs to implement predictive credit scoring and liquidity management tools.

  • Define digital oversight architectures that enable regulators to access AI-powered supervision dashboards in real time.

Required Expertise

  • 10+ years in AI-based fintech analytics, credit modeling, or risk technology leadership.

  • Mastery of deep learning models, predictive analytics, and data engineering in financial contexts.

  • Strong understanding of credit systems, liquidity management principles, and macroprudential risk indicators.

  • Proven ability to translate AI outcomes into regulatory-compliant financial strategies.

  • Expertise in designing large-scale analytical infrastructures using cloud and distributed systems.

Preferred Qualifications

  • Advanced degree (MSc, PhD, or equivalent) in Data Science, Quantitative Finance, or Computational Economics.

  • Certification in AI Governance, Risk Analytics, or Financial Modelling Excellence.

  • Experience leading fintech data innovation programs across multi-jurisdictional landscapes.

Remuneration & Benefits

Comprehensive global remuneration, innovation-linked equity participation, data research grants, and full remote international executive privileges.

Are you excited about this opportunity?

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👉 Apply now by clicking on the “Apply Now” button below.

Let’s shape the future of finance together!

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