Antoine Merienne

Angestellt, Export Credit Analyst Intern, SFIL
Paris, Frankreich

Fähigkeiten und Kenntnisse

Projektmanagement
MS Office
Softwareentwicklung
Teamfähigkeit
Econometrics
Statistics
Microsoft Excel
Scientific Litterature Review
Macroeconomic modelization
Machine Learning

Werdegang

Berufserfahrung von Antoine Merienne

  • Bis heute 2 Monate, seit Sep. 2025

    Export Credit Analyst Intern

    SFIL

    • Analysis of counterparties for export credit refinancing linked to large-scale industrial & defense contracts. • Evaluates the financial and economic viability of French industrial export projects. • Collaborate within a 15-member team managing a portfolio of over €10 billion in outstanding contracts. Context: SFIL is the leading European issuer of secured bonds for the public sector and the main liquidity provider for French export contracts.

  • 4 Monate, Juni 2025 - Sep. 2025

    Research Assistant

    Paris Nanterre University

    Research internship at the statistical modelization research unit of Paris Nanterre University (Modal'X). • Designed a on copula based statistical method for neonatal EEGs analysis. • Developed a fast way to estimate correlation matrix though MLE using hyperspherical parametrization. • Built an optimized Monte Carlo simulations to compare estimation performances.

  • 3 Monate, Juni 2023 - Aug. 2023

    European Audit Analyst

    French Ministry of Economics and Finance

    Intern at the European Fund National Audit Agency (ANAFE, ex-CICC) • Authored a comprehensive report analyzing the risk of irregularities in public procurement for the 2021 national audit campaign of structural and investment funds, with region-level granularity. • Optimized automated Excel models using VBA, improving calculation speed and reliability. • Initiated and implemented a data synthesis method consolidating insights from dozens of audit reports, enhancing the annual monitoring of audit campaigns.

Ausbildung von Antoine Merienne

  • Bis heute 3 Jahre und 2 Monate, seit Sep. 2022

    Quantitative economics & statistics

    ENSAE ParisTech

    Curriculum in quantitative economics, statistics, and data science, with advanced training in probability theory, econometrics, and applied mathematics. The program combines theoretical courses with hands-on projects in data analysis and modeling, covering areas such as machine learning, time series, and applied economics. Strong emphasis is placed on the use of statistical software and programming languages (Python, R, SQL) for empirical research and large-scale data applications.

  • Bis heute 3 Jahre und 2 Monate, seit Sep. 2022

    Corporate Finance

    HEC Paris

    Generalist program in management with a strong emphasis on finance and economics. Curriculum includes advanced courses in corporate finance, financial accounting, and data analysis, as well as applied projects in strategy and business analytics. The program combines theoretical foundations with practical casework in multicultural teams, reinforcing both quantitative expertise and understanding of economic and financial issues. Dual degree with ENSAE Paris.

Sprachen

  • Englisch

    Fließend

  • Französisch

    Muttersprache

  • Deutsch

    Gut

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