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Ismail GhmimatIG

Ismail Ghmimat

Quant/Data Scientist

€555/day
Paris, FR
0-2 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Ismail

Engineer by training and specialized in financial markets (Master in Finance at ESSEC, Financial Engineering Track), I help companies, funds, and startups transform their data and financial challenges into concrete decisions.
For 16 months, I was an Emerging Markets Strategist at Société Générale CIB: modeling sovereign yield curves (Nelson-Siegel-Svensson), automating market data extraction via the Bloomberg API in Python, and building macroeconomic forecasting models to guide rate and credit views. Previously, data scientist at BCG X (BCG Gamma) and led demand forecasting cycles at Procter & Gamble.
What I offer you:
Financial modeling and valuation
Data analysis and predictive models (Python, machine learning)
Automation of data extraction and processing (Bloomberg, API, SQL)
Dashboards, reporting, and data visualization
My profile combines true quantitative rigor (stochastic calculus, option pricing) with practical data science experience. Whether you need a solid financial model, an automated data pipeline, or clear analyses to make decisions, let's talk.
  • Arabic

    Native or bilingual

  • French

    Native or bilingual

  • English

    Native or bilingual

  • Spanish

    Basic

Can work on-site
Paris (up to 50km)

Experience

  • Société Générale Corporate and Investment Banking (SGCIB)
    Emerging Markets Strategist
    March 2024 - August 2025 (1 year and 5 months)
    • • Modeled sovereign yield curves using the Nelson-Siegel-Svensson framework and automated market-data extraction via the Bloomberg API in Python.
    • • Built models to forecast key macro indicators (GDP, inflation) and assessed sovereign creditworthiness, fiscal and monetary policy and political risk to inform views on EM rates and credit.
    • • Co-authored research notes on macroeconomic and geopolitical developments and their impact on EM fixed income, working alongside senior strategists.
    • • Produced data-driven charts and analytics in Python and synthesized research to support client meetings and senior-led presentations.
    Python Bloomberg Time Series Forecasting VBA Economics
  • Procter & Gamble
    Sales Manager
    May 2023 - February 2024 (9 months)
    • • Drove double-digit revenue growth on a key product portfolio through data-driven sales planning and performance tracking against market-share targets.
    • • Built and ran the demand-forecasting cycle using predictive analytics to align inventory with market trends, cutting stockouts by 15%.
  • BCG X (BCG Gamma)
    Visiting Data Scientist
    May 2022 - October 2022 (5 months)
    • • Applied machine learning algorithms and statistical modeling to solve complex client challenges, providing data driven insights that informed strategic recommendations.
    • • Collaborated with cross-functional consulting teams to develop automated dashboards and reporting tools, enhancing data accessibility and visualization for client presentations.

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Education

  • Candidate for Master in Finance
    ESSEC Business School
    2026
    Candidate for Master in Finance
  • M. Eng in Industrial Management
    EMINES School Of Industrial Management (UM6P)
    2022
    M. Eng in Industrial Management

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