Jordan Garrett

Senior Data Scientist
Phoenix
Garrett Jordan SharePoint 11302022

Jordan Garrett is a Senior Data Scientist at P&C Global, where he is a key member of the Data & Cognitive Sciences, Quantitative Analytics, Artificial Intelligence, and Strategy & Innovation practice groups. With over 20 years of experience, Jordan has built a reputation as a leading expert in computational finance, quantitative analytics, and data science. His expertise spans Financial Services, Manufacturing, Retail, Luxury Retail, and High Tech, where he has spearheaded numerous high-impact engagements that have delivered measurable business value.

Based in Phoenix, Arizona, Jordan is known for his ability to translate complex datasets into AI-powered financial models and predictive analytics, leveraging machine learning, deep learning, and mathematical optimization to help clients unlock new growth opportunities.

Jordan’s academic background reflects his commitment to advanced quantitative analytics, financial modeling, and AI-driven decision science. He earned his Bachelor of Arts in Applied Mathematics from the University of California, Berkeley. In addition, he holds a Master of Science in Computational Finance & Risk Management from the University of Washington and a PhD in Data Science from Columbia University.

Jordan’s career reflects a logical and well-earned progression across some of the world’s most respected financial and technology institutions.  He began his career at Goldman Sachs as a Quantitative Analyst where he developed AI-driven risk modeling frameworks, improving portfolio risk assessment and reducing exposure to volatility by 18%. He then joined Intel Corporation as a Senior Data Scientist where he designed predictive maintenance algorithms, increasing chip production yield rates by 12% and reducing unplanned downtime across manufacturing plants. As Director, Advanced Analytics at LVMH, he led customer segmentation and predictive analytics initiatives, resulting in a 25% improvement in customer retention and a $150 million increase in revenue. Prior to his role at P&C Global, Jordan served as Vice President, AI & Quantitative Strategy at Morgan Stanley where he spearheaded automated trading strategies and advanced quantitative risk models, increasing portfolio returns by 9% annually while optimizing capital allocation.

At P&C Global, Jordan brings deep domain expertise, blending financial mathematics, AI, and big data analytics to drive groundbreaking client transformations.

  • AI-Driven Trading and Risk Optimization for a Global Financial Services Firm
    Jordan led a multi-year initiative to implement AI-powered quantitative models for risk management and high-frequency trading. His team’s solution resulted in a 35% improvement in trading execution efficiency, a 22% reduction in risk exposure, and $400 million in increased portfolio performance over three years.
  • Machine Learning-Powered Customer Insights for a Luxury Retail Conglomerate
    Working with a top global luxury retail brand, Jordan built an AI-driven predictive analytics engine to optimize inventory management, customer segmentation, and personalized recommendations. The impact included a 40% increase in repeat purchases, a 30% improvement in customer lifetime value, and a 15% reduction in supply chain inefficiencies.
  • AI-Driven Manufacturing Optimization for a High-Tech Enterprise
    Jordan spearheaded a data science initiative for a leading semiconductor manufacturer, leveraging AI-powered anomaly detection and predictive maintenance. The project resulted in a 20% increase in production efficiency, a 17% reduction in defect rates, and an annual cost savings of $120 million.

Jordan grew up in California, where his early fascination with mathematics and problem-solving led him to pursue a career in data science and quantitative analytics. Now living in Phoenix, Arizona, he enjoys hiking, astrophotography, and road trips through the Southwest.

A self-described data geek with a love for adventure, Jordan balances his analytical mind with a passion for learning, experimentation, and discovery. Whether he’s fine-tuning a deep learning model or perfecting his homemade barbecue rub, he enjoys the process of innovation and improvement.

He is also a dedicated mentor, believing that the intersection of creativity and analytics is where the magic happens.

Reflecting on his journey at P&C Global, Jordan shares:

“P&C Global is more than a consulting firm—it’s an innovation powerhouse. We don’t just analyze data; we uncover the hidden insights that redefine industries. I joined this firm because I wanted to work with the best, and every single day, that decision is reaffirmed.”

On his personal and professional growth, Jordan notes with a grin:

“People say data scientists are introverts—I like to think we’re just quietly powerful. At P&C Global, I get to build predictive models that shape the future, help clients make billions in smarter decisions, and still have time to debate whether AI will ever out-bluff a human in poker. (Spoiler: It already has.)”

Known for his sharp analytical mind, strategic foresight, and dry wit, Jordan brings a unique mix of technical brilliance and business acumen to every engagement. His ability to translate complex data into compelling strategies makes him a trusted advisor to P&C Global’s global clientele.

Jordan embodies the curiosity, precision, and creativity that define P&C Global’s culture—delivering real results that make a lasting impact.

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Past Experience

Morgan Stanley
Vice President, AI & Quantitative Strategy

LVMH
Director, Advanced Analytics

Intel
Senior Data Scientist

Goldman Sachs
Quantitative Analyst

Academic Credentials

University of California, Berkeley
BA, Applied Mathematics

University of Washington
MSc, Computational Finance & Risk Management

Columbia University
PhD, Data Science

Postgraduate Credentials

CQF Institute
Certificate in Quantitative Finance

Global Association of Risk Professionals
Financial Risk Manager (FRM)

CFA Institute
Chartered Financial Analyst (CFA)

INFORMS
Certified Analytics Professional (CAP)

UC Berkeley Haas School of Business
Digital Transformation: Leading People, Data & Technology

Microsoft Certified
Azure Data Scientist Associate

Google Professional Data Engineer Certification

MIT Sloan School of Management
Executive Certificate in Strategy and Innovation

Saïd Business School (University of Oxford)
Executive Programme,
Artificial Intelligence for Business

MIT Sloan School of Management
Executive Program,
Big Data & Artificial Intelligence for Competitive Advantage

Domain Expertise

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