Freelancer profile translated to English.
Back to original languageAbout Abdessamad
Engineer from École Centrale Lyon, with 9 years of experience including 6 years in data science, in the design of quantitative models and data products in the financial sector.
As a Senior Data Scientist at the London Stock Exchange Group (LSEG), I designed and developed quantitative models and data products for institutional asset managers, from raw data collection to production-ready datasets (macroeconomics, finance, sustainability (ESG), and climate risk) serving systematic investment strategies.
Previous experience as a mathematical modeling and numerical simulation engineer (Python) in the nuclear sector at Framatome (formerly AREVA NP).
Centralien engineering degree with a strong focus on applied mathematics, statistics, physics, numerical simulation, programming, and energy.
Tech Stack: Python (Pandas, NumPy, SciPy, Scikit-learn, Statsmodels, Matplotlib, Seaborn), SQL, AWS (S3, Redshift, EC2, Athena, Lambda), Git, Jenkins, Docker.
English
Native or bilingual
French
Native or bilingual
Arabic
Native or bilingual
Spanish
Conversational
Can work on-site
Paris (up to 50km)
Experience
- London Stock Exchange Group (LSEG)Senior Data Scientist | Finance, Sustainability and Climate RiskBANKING AND INSURANCEJanuary 2020 - Today (6 years and 5 months)Paris, FranceDesign and development of quantitative models and data products for institutional asset managers, from raw data collection to production-ready datasets (macroeconomics, finance, sustainability (ESG), and climate risk) serving systematic investment strategies.• Implementation of statistical and machine learning models (supervised, PCA, clustering, composite indicators) and construction of quantitative features on macroeconomic, financial, sustainability, and climate risk time series to transform raw data into actionable signals for systematic investment strategies.• Model validation through cross-sectional analysis and time-based backtesting.• Identification, evaluation, and integration of new datasets based on investor use cases and research needs.• Implementation of large-scale data quality control workflows (missing, outlier, or inconsistent values).• Development of production data applications on AWS, optimizing execution times and memory usage, automating workflows, and implementing robust testing and validation frameworks.• Selection of delivered data products:- ESG scoring of countries with bias mitigation related to income level.- Sovereign default risk scoring based on macroeconomic, financial, and ESG data.- Scoring of countries' exposure to climate risk.- Scoring of countries on the achievement of Sustainable Development Goals (SDGs).• Co-author of a research paper with FTSE Russell on SDG-aligned government bond indices.• Co-supervision of students (ENSAE) on an applied statistics research project.Tech stack: Python (Pandas, NumPy, SciPy, Scikit-learn, Statsmodels, Matplotlib, Seaborn), SQL, AWS (S3, Redshift, EC2, Athena, Lambda), Git, Jenkins, Docker.
- FramatomeMathematical Modeling and Simulation Engineer (Python) | NuclearENERGY AND UTILITIESMay 2016 - August 2019 (3 years and 3 months)La Défense, France• Development of Python applications for processing and leveraging complex engineering data (extraction, cleaning, transformation, text-mining, statistical analysis).• Mathematical modeling and numerical simulations (static, dynamic, linear, and non-linear) in Python for the design of nuclear reactor steam generators.• Management of a simulation software dedicated to the analysis of Flow-Induced Vibrations (FIV).• Supervision of an intern and leading internal and external training sessions in numerical simulation.• Technical lead on nuclear projects in South Africa (€4 million).
- SINTEF OceanNumerical Simulation and Experimentation Engineer (End-of-Studies Internship)ENERGY AND UTILITIESApril 2015 - September 2015 (5 months)Trondheim, NorwayStudy of vibrations and fluid-structure interactions of wind turbines in the Dudgeon offshore wind farm.• Structural analysis of wind turbines using numerical simulation.• Development of Python/MATLAB applications to generate and process experimental data.• Development of new Python/MATLAB tools to improve the experimental protocol.
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Education
- Engineering Diploma - Grande École d'ingénieursÉcole Centrale Lyon2015Formation généraliste à forte composante en mathématiques appliquées, statistiques, physique, simulation numérique, programmation et énergie.
Certifications
- Advanced Statistics for Data ScienceThe Johns Hopkins University (Coursera)2025
- Applied Data Science with Python SpecialisationUniversity of Michigan (Coursera)2019