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 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), energy, and climate) serving systematic investment strategies.
Previous experience as a mathematical modeling and numerical simulation engineer (Python development) in the nuclear sector at Framatome (formerly AREVA NP).
Engineering degree with a strong focus on applied mathematics, statistics, physics, numerical simulation, programming, and energy systems.
Available for freelance missions in Paris and remotely.
Contact me at
Tech Stack : Python (Pandas, NumPy, Polars, DuckDB, SciPy, Scikit-learn, Statsmodels, Matplotlib, Seaborn), SQL, AWS (S3, Redshift, EC2, Athena, Lambda), AI (RAG, LoRA fine-tuning — LangChain, Chroma, Hugging Face Transformers, PEFT), 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 - AI Engineer | Finance, Macro, ESG & ClimateBANKING AND INSURANCEJanuary 2020 - Today (6 years and 7 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, ESG, energy, and climate) serving systematic investment strategies.• Implementation of statistical and machine learning / AI models (supervised, PCA, clustering, composite indicators, NLP, LLMs) and construction of quantitative features on macroeconomic, financial, ESG, and climate risk time series to transform raw data into actionable signals for investment strategies• Model validation through cross-sectional analysis and time-based backtesting• Identification, evaluation, and integration of new datasets based on research needs• Development of Python ETL pipelines to extract, clean, and harmonize raw data from heterogeneous sources• Implementation of data quality control workflows (missing values, outliers, or inconsistencies) at scale• Development of data applications in production on AWS, with performance optimization, workflow automation, and robust testing/validation• Selection of delivered data products:- Sovereign default risk scoring based on macroeconomic, financial, and ESG data- Country exposure scoring to climate risk, integrated into sovereign bond indices- ESG scoring of countries with bias mitigation related to income level• 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 projectTech Stack : Python (Pandas, NumPy, Polars, DuckDB, SciPy, Scikit-learn, Statsmodels, Matplotlib), SQL, AWS (S3, Redshift, EC2, Athena, Lambda), AI (RAG, LoRA fine-tuning — LangChain, Chroma, Hugging Face Transformers, PEFT), 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 valuing 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 simulation software dedicated to flow-induced vibration (FIV) analysis• 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 for generating and processing experimental data• Development of new Python/MATLAB tools to improve the experimental protocol
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Education
- Engineering Degree - Graduate Engineering SchoolÉcole Centrale Lyon2015Formation généraliste à forte composante en mathématiques appliquées, statistiques, physique, simulation numérique, programmation et énergie.
Certifications
- Generative AI with Large Language ModelsDeepLearning.AI & AWS2026
- Advanced Statistics for Data ScienceThe Johns Hopkins University (Coursera)2025