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François RanchetFR

François Ranchet

Quantitative Engineer

€400/day
Paris, FR
0-2 years

Average response time: 1 hour

Freelancer profile translated to English.
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About François

I design reliable, high-performance solutions tailored to my clients' needs.
Whether it's automating a process, analyzing data, developing an algorithm, or creating a clear and robust tool, I bring a technical, structured, and results-oriented approach.

What I do:
• Python Development (automation, dashboards)
• Data Analysis & Modeling (finance, risk, pricing, optimization, backtests)
• Custom Tools: Advanced Excel, Dataiku, SQL, dynamic reporting
  • French

    Native or bilingual

  • English

    Fluent

Remote only
Primarily works remotely

Experience

  • LCL
    Quantitative Engineer in Credit Risk
    September 2024 - September 2025 (1 year)
    94800 Villejuif, France
    Design and automation of a system to anticipate credit risk deterioration, using statistical methods (regression, Random Forest) and processing large volumes of data in SQL (70 million individuals), with the creation of indicators and metrics (Probability of Default degradation). The project involved creating behavioral and financial indicators (payment delays, exposure variations, liquidity ratios, Probability of Default evolution) as well as implementing performance and stability metrics (AUC, KS, PSI) to track Probability of Default (PD) degradation over time and optimize operational alert thresholds.
    Data Analysis Data Visualization Machine Learning
  • Ministère de l'Economie et des Finances
    Economist Statistician
    September 2023 - March 2024 (6 months)
    Bercy, Paris, France
    Automated development of an interactive dashboard to assess the impact of the "France 2030" plan (€54 billion) on business performance and resilience, integrating statistical analyses (trends, cross-correlations, sectoral segmentation) and an optimized pipeline for processing massive data in R and Excel.
  • Ministère de la transition écologique
    Statistician
    April 2023 - August 2023 (4 months)
    La Défense, France
    Application of unsupervised classification methods (HAC, K-means) to establish a socio-economic typology of territories. Integration of multidimensional analysis approaches (PCA, MCA, ACM) and correlation tests (Pearson, Kendall, Cramer, Kruskal-Wallis) to optimize the interpretation of territorial dynamics.

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Education

  • Master 2
    Université Paris Panthéon-Assas
    2025
    Master 2
  • Master 1
    Université Lyon 2
    2023
    Master 1

Skill set

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