Raphaël Géronimi

Raphaël Géronimi

After 13 years in Silicon Valley, investment banking, and management consulting, I founded ArsChitectura to bring innovative Data Science to every client's unique business challenge.

Why ArsChitectura

After co-founding a startup in Silicon Valley, working as a quantitative consultant at McKinsey, directing the €70 million data transformation program at Société Générale, and cleaning up traders' control systems after the largest trading fraud in history, I spent far more time in organizational meetings than doing the work that had drawn me to this field: mathematics. Meanwhile, colleagues in e-commerce and ad tech were experimenting with the latest machine-learning techniques from Google and the real-time web - innovations large corporate environments still have not adopted.

In 2011, I stepped away to refocus on this opportunity. The idea behind ArsChitectura was simple: combine deep mathematical expertise with the business and program-management experience I had accumulated, and offer that combination directly to companies tackling hard problems on large-scale data. The first client fell through before I started. Two new engagements arrived almost immediately, and the practice has grown from there.

What I have built is a bridge: I can sit with a leadership team, understand the business stakes, then design and deliver the mathematical solution myself or with their team - whether that calls for a fully transparent model that regulators can audit, or a high-performance system serving hundreds of thousands of predictions per second. No single technique fits every problem, and knowing which one a situation demands is itself a skill I have built across very different industries.

What I Do

I have implemented a broad array of innovative projects including:
  • Fintechs - Coached and led mathematical breakthroughs for
    • A $3 billion consumer lender (credit scoring, collections optimization, fraud detection, and AI automation)
    • The world's leading software provider for financial institutions (error detection)
    • A $700 million property and casualty insurer (automobile risk pricing)
  • Web advertisers - Delivered machine-learning solutions for
    • Real-Time Bidding (>300,000 online predictions per second)
    • Search-Engine Marketing (prediction models and portfolio optimization on >1 billion items, AI optimization)
    • E-Commerce Funnel Optimization (prediction models and choice optimization)
    • Recommendation (graph models, ranking models, uplift emailing models)
  • Venture Capitalists, Founders, and Academics - Advisor to
    • A US & Israel VC fund
    • A few startup companies

My Background

  • 2011 - Now ArsChitectura
    • Founder & CEO
    • Built end-to-end data science solutions for 15+ clients
  • 2004 - 2011 Société Générale Corporate and Investment Banking
    • Director of the €70 million Data Transformation Program
    • Cleaned up traders' control IS after the $73 billion Kerviel fraud and met all regulatory deadlines
  • 2002 - 2004 McKinsey & Company
    • Quantitative consultant
    • Designed technology-intensive transformation programs for 5 global firms
  • 1998 - 2001 RedCart
    • Co-founder of a Silicon Valley startup
    • Reached cash-flow positive and 50+ employees

Education

École Polytechnique
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