I am a data scientist and quantitative developer with over 8 years of experience in data analysis, engineering, and modeling, and 4 years of direct front-office exposure in trading environments. I have worked as a systematic hedge fund trader/developer, a consultant to commodity trading firms, and a front-office software engineer for an electricity trading company. I design robust, data-driven decision systems that enhance operational efficiency and trading performance. I specialize in cloud-based ETL pipelines, real-time dashboards, and the integration of machine learning into analytics workflows. I am comfortable running end-to-end projects—from data ingestion and model deployment to backtesting and production monitoring—and I thrive in fast-paced energy and financial markets.

Loann Brahimi

I am a data scientist and quantitative developer with over 8 years of experience in data analysis, engineering, and modeling, and 4 years of direct front-office exposure in trading environments. I have worked as a systematic hedge fund trader/developer, a consultant to commodity trading firms, and a front-office software engineer for an electricity trading company. I design robust, data-driven decision systems that enhance operational efficiency and trading performance. I specialize in cloud-based ETL pipelines, real-time dashboards, and the integration of machine learning into analytics workflows. I am comfortable running end-to-end projects—from data ingestion and model deployment to backtesting and production monitoring—and I thrive in fast-paced energy and financial markets.

Available to hire

I am a data scientist and quantitative developer with over 8 years of experience in data analysis, engineering, and modeling, and 4 years of direct front-office exposure in trading environments. I have worked as a systematic hedge fund trader/developer, a consultant to commodity trading firms, and a front-office software engineer for an electricity trading company. I design robust, data-driven decision systems that enhance operational efficiency and trading performance.

I specialize in cloud-based ETL pipelines, real-time dashboards, and the integration of machine learning into analytics workflows. I am comfortable running end-to-end projects—from data ingestion and model deployment to backtesting and production monitoring—and I thrive in fast-paced energy and financial markets.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Work Experience

Data Scientist & Analytics Engineer – Commodities at Improm AI
August 1, 2025 - Present
Joined as the third employee at Improm AI, helping to establish processes, business model and initial product ideation. Led the design and deployment of cloud-based data pipelines and front-end analytics solutions to empower commodity trading teams with actionable insights. Collaborated with traders to translate business needs into robust, scalable analytics and AI workflows.
Software Developer Trading – Gas & Power at Alpiq
September 1, 2024 - August 31, 2025
Supported traders with IT and analytics needs, standardizing processes and best practices. Built and maintained data analytics and front-office applications including a short-term power positions visualization tool (Flask REST API), a hedge-asset allocation framework for delta hedging strategies, a North gas forward curve management tool, data synchronization tasks, data scrapers, and an automated P&L computation tool.
Full Stack Data Scientist – Commodities Trading | Consultant at Consultant / Self-Employed
April 1, 2020 - September 30, 2024
Designed and managed a microservice-based data scraping architecture with 40+ sources of news data. Deployed a Flask REST API to serve data for sentiment and news analysis trading pipelines. Developed an intraday futures strategies R&D framework including a backtesting module. Implemented Brent intraday trading strategy and performed relational database design and migration for a gas trading company.
Quantitative Developer & Trader – Hedge Fund at Taranis
January 1, 2022 - March 31, 2024
Key member of a systematic hedge fund trading S&P 500 futures using a proprietary market sentiment algorithm. Led R&D on financial market patterns, statistical analysis, and ML-based approaches; built, deployed, and monitored ETL-based trading pipelines and a fully automated Portfolio Management System (PMS); oversaw middle-office operations and fund performance. Achieved +21.3% P&L in 2023.
Quantitative Research & Development at Self-Employed
December 1, 2020 - December 31, 2021
Developed trading algorithms and algorithmic trading environments for independent traders. Built a Python-based algorithmic trading environment with bots and indicators for MetaTrader; conducted R&D of trading strategies for forex and equities.
Research Fellow - Astrophysics at LUPM, University of Montpellier
April 1, 2017 - November 30, 2020
Cosmic Ray transport in the weakly ionized turbulent interstellar medium. Developed a numerical transport code in C++ and Python; implemented a nonlinear advection/diffusion method in RAMSES AMR-MHD; contributed to 4 publications and international conferences.
Data Analyst Research Fellow - Astrophysics at LUPM, University of Montpellier
April 1, 2016 - July 31, 2016
Characterization of the high-energy astrophysical source H.E.S.S. J1848-018; environmental and multi-wavelength study; emission spectra reconstruction and power-law fitting.
Full Stack Data Scientist – Commodities Trading at Consultant
April 1, 2020 - September 30, 2024
Designed and managed microservice-based data scraping architecture (40+ sources) and deployed a Flask RESTful API to serve data for sentiment and news-analysis trading pipelines. Built an intraday futures strategies R&D framework with a backtesting module and deployed a Brent intraday trading strategy. Performed relational database design and migration for a gas trading company.
Research Fellow - Astrophysics at LUPM, Montpellier
April 1, 2017 - November 30, 2020
Numerical/theoretical astrophysics research on cosmic ray transport; developed numerical transport code in C++ and Python; implemented AMR-MHD methods within RAMSES; published 4 papers and presented at international conferences; taught and mentored students.
Data Analyst Research Fellow - Astrophysics at LUPM, Montpellier
April 1, 2016 - July 31, 2016
Characterization of high-energy astrophysical source H.E.S.S. J1848-018; environmental and multi-wavelength study; spectra reconstruction and quantitative analysis.

Education

PhD in Astrophysics at University of Montpellier, France
January 1, 2017 - January 1, 2020
MSc in Fundamental Physics at University of Montpellier, France
January 1, 2015 - January 1, 2017
PhD in Astrophysics at University of Montpellier, France
January 1, 2017 - December 31, 2020
Master of Science in Fundamental Physics at University of Montpellier, France
January 1, 2015 - December 31, 2017

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Energy & Utilities, Software & Internet, Professional Services, Other