Full Time

Lead Fintech Data Science Strategist

  • Remote
  • Specialism : Lead Fintech Data Science Strategist
  • Post Date: October 17, 2025
  • Expires In : 91 Days
  • Apply Before: January 17, 2026
Job Overview

Remote Lead Fintech Data Science Strategist – Kingdom of Saudi Arabia

Location: Remote (Saudi Arabia Region)

Employment Type: Full-Time | Remote Leadership

Sector: Financial Data Science | Digital Finance | Predictive Intelligence

Overview

As the Saudi financial landscape advances toward a fully digitalized and data-driven future, the Remote Lead Fintech Data Science Strategist will serve as the cornerstone for orchestrating the nation’s most advanced predictive finance initiatives. This role merges quantitative modeling, AI-driven decisioning, and market behavioral analytics to optimize financial performance, inclusion, and operational intelligence across diverse fintech verticals.

Role Purpose

You will establish the analytical architecture that empowers fintech products to interpret economic intent, predict liquidity shifts, and automate decision-making. The strategist will define the data science roadmap across payments, credit, robo-advisory, and decentralized financial analytics domains within the Saudi digital economy.

Key Responsibilities

  • Design enterprise-grade AI/ML models for credit risk, portfolio optimization, and behavioral scoring.

  • Engineer advanced algorithms for fraud detection, anomaly recognition, and consumer affordability modeling.

  • Build cloud-native, end-to-end data pipelines integrating structured and unstructured financial datasets.

  • Develop predictive analytics frameworks for digital lending, micro-investment, and real-time compliance monitoring.

  • Collaborate with data governance boards and fintech regulators to ensure ethical and transparent AI deployment.

  • Lead data science innovation labs and mentor multi-disciplinary analytics teams across geographies.

  • Produce detailed intelligence dashboards, KPI matrices, and investor-ready data visualization assets.

Qualifications

  • PhD or Master’s in Data Science, Applied Mathematics, or Financial Engineering.

  • Minimum 8–12 years of experience in fintech or quantitative finance environments.

  • Expertise in Python, TensorFlow, PyTorch, and cloud-based analytics (AWS, Azure, or GCP).

  • Demonstrated success deploying large-scale predictive models in financial ecosystems.

Desired Attributes

Visionary thought leadership, mathematical creativity, mastery of cross-disciplinary collaboration, and fluency in digital regulatory ecosystems of the GCC.

Are you excited about this opportunity?

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