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LUDOVIC BEYEME

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Data Analytics / Quantitative Credit risk modeling

Toronto, ONHybrid

About

I am a data analytics and quantitative credit risk modeling specialist with over 8 years of experience in the financial sector.
I have developed credit risk models as part of IFRS 9 implementation projects, and I have a solid understanding of the Basel regulatory framework, which I use to enhance the consistency of risk management approaches.
My expertise covers the entire data value chain β€” from data collection and quality management to statistical model development and automation of analytical processes.
My technical environments include SAS and Python, which I use for data preparation, modeling, backtesting, and stress testing.
I also integrate climate and environmental risks into risk management frameworks to better anticipate their potential impact on financial stability.

I am passionate about turning data into actionable insights and developing robust, sustainable analytical solutions.
Let’s discuss how I can bring value to your next data or risk management project.

Skills

PythonSQLMachine LearningData ScienceData AnalyticsData MiningETLData VisualizationMatplotlibA/B TestingExcelData CleaningStatistical AnalysisSpark

Languages

EnglishFrench

Starting from

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Key Information

Work mode

Hybrid

Mission Duration

No preference

Location

Toronto, ON

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