Dr. Ibrahim Alotaibi

Strategic Advisor & Quant Strategist | PhD in Mathematics & Statistics | Risk Architect (in High-Uncertainty environments) | Decision Support Expert & Model Validation | Advanced Algorithms Expert

Sorry, unable to follow Dr. Ibrahim. Please try again.

About

The most dangerous numbers are the ones that look right. So, I specialize in evaluating the reliability of quantitative, statistical, and numerical models used in high-impact decisions. With over 20 years of professional experience in technical environment, quality assurance, and statistical analysis, and a PhD in Mathematics & Statistics, I work at the intersection of models, uncertainty, and decision-making. My focus is not on building models, but on assessing when model outputs are trustworthy, when they are fragile, and when they can mislead decision-makers despite being mathematically correct. I have held leadership and audit roles, contributed to institutional quality and capacity-building initiatives (including collaboration with KPMG), and gained international academic and research experience in Australia and the United States. I am particularly interested in roles or collaborations related to model validation, quantitative risk analysis, decision support, and quality assurance in data-driven environments.

Experience

  • Strategic Advisor | High-Uncertainty Risk Architecture | Model Validation & Decision Support Expert at Freelance
    May 2015 - Present · 11 yrs 7 mos

  • Senior Trainer / Quantitative & Quality Analysis Roles at Technical and Vocational Training Corporation (TVTC), Saudi Arabia
    2004 – Present

  • Computational & Analytics Researcher | Structural Logic | The University of Sydney at The University of Sydney
    Jan 2023 - Aug 2024 · 1 yr 8 mos

    Research Focus: Minimal Degrees and Structural Properties of Complex Groups. Engineered advanced frameworks to verify the structural integrity of complex data sets using Group Theory. Pioneered methodologies for isolating logical inconsistencies within large-scale data, enhancing reliability. Note: This research provides the foundational logic for modern Cryptography and Quantum Error Correction.

  • Undergraduate Faculty Instructor at California State University, Los Angeles (USA)
    Oct 2014 - Oct 2015 · 1 yr 1 mo

    Part-Time Lecturer / Examination Committee Member