Larisa Soriano

Senior Data Scientist
Dallas
Soriano Larisa SharePoint 11302022

Larisa Soriano is a Senior Data Scientist at P&C Global, where she leverages her extensive expertise in computational finance, quantitative analytics, machine learning, and data-driven decision-making to drive transformative solutions for clients. As a key member of the Data & Cognitive Sciences, AI, Quantitative Analytics, Corporate Performance, Digital Transformation, and Strategy & Innovation practice groups, Larisa has been instrumental in delivering impactful results across industries such as High Tech, Information & Data Sciences, Financial Services, Manufacturing, Luxury Retail, and Travel & Hospitality.

Her academic journey reflects her dedication to excellence in STEM and quantitative disciplines.  She earned her Bachelor of Science in Computational Finance from Carnegie Mellon University, and she holds a Master of Science in Mathematical and Computational Finance from Stanford University.

Larisa’s career path showcases a logical progression through key roles in leading global companies. She began her career at Morgan Stanley as a Quantitative Analyst where she developed and implemented quantitative models for risk assessment and trading strategies, contributing to a 15% increase in portfolio performance. She then joined Google as a Data Scientist where she led data-driven projects to optimize advertising algorithms, resulting in a 20% improvement in ad targeting accuracy.  As a Senior Quantitative Researcher at JPMorgan Chase, she designed and executed complex financial models to inform investment decisions, enhancing the firm’s strategic trading operations. Prior to her role at P&C Global, she served as Lead Data Scientist at Amazon, directing machine learning initiatives to personalize customer experiences, leading to a 25% increase in user engagement.

At P&C Global, Larisa now leads multidisciplinary teams, applying her deep expertise to help clients navigate complex data landscapes and achieve strategic objectives. She has led transformative data science and AI-driven initiatives that have helped global organizations enhance financial decision-making, customer personalization, and operational efficiency. Her expertise in computational finance, quantitative analytics, AI, and digital transformation has delivered measurable impact across luxury retail, financial services, and the airline industry. For example:

  • AI-Driven Personalized Luxury Retail Strategy for a Global Fashion Brand
    A leading global luxury fashion house engaged Larisa and her team to enhance customer personalization and engagement using AI-powered predictive analytics. By leveraging real-time consumer behavior modeling, sentiment analysis, and hyper-personalized marketing, the P&C Global team designed an advanced AI-driven customer intelligence platform to optimize inventory allocation, pricing strategies, and personalized product recommendations.

    Outcomes:

    • 35% increase in high-value customer engagement, leading to $500 million in additional annual revenue.
    • 28% reduction in unsold seasonal inventory, improving profit margins and sustainability efforts.
    • 40% increase in conversion rates on digital and in-store personalized shopping experiences.
  • Quantitative Risk Modeling and AI-Powered Investment Analytics for a Global Financial Services Firm
    A multinational investment bank sought to improve risk modeling and predictive analytics to enhance high-frequency trading strategies and portfolio risk management. Larisa led the development of a quantitative risk modeling platform that utilized machine learning, real-time financial data integration, and AI-driven sentiment analysis to improve market predictions and asset allocation strategies.

    Outcomes:

    • 22% increase in predictive accuracy of high-volatility asset movements, enabling traders to make faster, more profitable decisions.
    • $750 million in optimized capital allocation, leading to significantly improved risk-adjusted returns.
    • 30% reduction in compliance risk through AI-powered regulatory monitoring and fraud detection models.
  • AI-Powered Revenue Optimization for a Leading Global Airline
    A major international airline engaged P&C Global to develop an AI-driven revenue management system that could optimize pricing, enhance demand forecasting, and improve route profitability. Larisa led the initiative by integrating machine learning algorithms, behavioral analytics, and external economic indicators into the airline’s dynamic pricing and seat inventory optimization models.

    Outcomes:

    • 18% increase in revenue per available seat mile (RASM) through AI-driven dynamic pricing optimization.
    • 26% improvement in load factor efficiency, reducing overbooking issues and empty seat rates.
    • $600 million in incremental annual revenue by optimizing demand-based pricing and operational efficiencies.

These engagements demonstrate Larisa’s ability to apply AI, computational finance, and data science to solve complex, high-stakes business challenges. Whether optimizing financial trading, personalizing luxury shopping experiences, or enhancing airline profitability, her work at P&C Global continues to drive industry-leading innovation and results.

Born and raised in San Diego, California, Larisa developed an early passion for mathematics and technology, often spending her free time exploring the intricacies of computer algorithms and financial models. In 2020, seeking new challenges and opportunities, she relocated to Dallas, Texas. The transition from the laid-back coastal vibe of San Diego to the dynamic, fast-paced environment of Dallas was a significant culture shock. However, Larisa embraced the change, finding inspiration in the city’s vibrant business community and rich cultural heritage.

An avid traveler, Larisa’s role at P&C Global takes her around the world, allowing her to immerse herself in diverse cultures and gain unique perspectives that inform her innovative approach to data science and analytics. Outside of work, she is passionate about culinary arts, often experimenting with fusion recipes that blend flavors from the various countries she has visited.

Reflecting on her journey at P&C Global, Larisa shares:

“At P&C Global, we don’t just analyze data; we uncover narratives that drive strategic decisions. It’s incredibly fulfilling to transform complex datasets into actionable insights that propel our clients forward.”

With a smile, she adds:

“Moving from San Diego to Dallas taught me that stepping out of your comfort zone can lead to the most rewarding experiences—both personally and professionally. Plus, I’ve learned that everything really is bigger in Texas, including the data sets!”

Larisa’s unique blend of technical expertise, strategic insight, and cultural adaptability makes her a valued leader at P&C Global. Her colleagues and clients appreciate her thoughtful perspectives, approachable demeanor, and unwavering commitment to excellence.

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Past Experience

Amazon
Lead Data Scientist

JPMorgan Chase
Senior Quantitative Researcher

Google
Data Scientist

Morgan Stanley
Quantitative Analyst

Academic Credentials

Carnegie Mellon University
BSc, Computation Finance

Stanford University
MSc, Mathematical and Computational Finance

Postgraduate Credentials

Massachusetts Institute of Technology
Professional Certificate Program in Machine Learning & Artificial Intelligence

MIT Sloan School of Management
Executive Certificate in Strategy and Innovation

CQF Institute
Certificate in Quantitative Finance (CQF)

Global Association of Risk Professionals
Certified Financial Risk Manager (FRM)

CFA Institute
Chartered Financial Analyst (CFA)

INFORMS
Certified Analytics Professional (CAP)

Microsoft
Certified Azure Data Scientist Associate

Google Cloud
Google Professional Data Engineer

IBM
Data Science Professional Certificate

SAS
Certified Advanced Analytics Professional

Amazon Web Services
AWS Certified Machine Learning – Specialty

CertNexus
Certified Artificial Intelligence Practitioner

Data Science Council of America
Senior Data Scientist Certification (SDS)

Domain Expertise

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