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SU@shahrouzuser
Quantitative researcher with expertise in financial modeling and analysis.
FranceI am a quantitative researcher with three years of experience in quantitative research and analysis, specializing in financial modeling and stochastic optimization. My journey has led me to develop advanced mathematical and statistical models for fintech applications, significantly improving predictive accuracy by over 40% at Nexus Horizon through the implementation of LSTM and SVM models.
In addition to my technical skills, I have a passion for education and have trained over 250 students in quantitative methods, achieving an 11% improvement in their results. My academic background includes a doctorate in Quantitative Finance from the Institut Supérieur - Doctorate Of Business Administration and a Master in Applied Mathematics from the University of Paris-Saclay and École Polytechnique. I have also led a multidisciplinary project that combines art and engineering, showcasing my ability to integrate creativity with technical expertise.
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Work history, roles, and key accomplishments
NHNexus Horizon
Jan 2024 - Present (1 year 10 months)
As a Quantitative Analyst at Nexus Horizon, I developed advanced mathematical models for fintech applications, improving predictive accuracy by over 40% using LSTM and SVM models. I also trained over 250 students in quantitative methods, achieving an 11% improvement in their results.
IS-DBA Business School
Oct 2022 - Present (3 years 1 month)
As an Instructor at IS-DBA Business School, I taught courses on risk modeling, business analysis, and visualization, focusing on quantitative methods and Python programming.
Natixis
Sep 2022 - Sep 2023 (1 year)
In my role as Securities Manager at Natixis, I applied innovative methods for finance, including fractal analysis and antifragility, while managing a portfolio of securities.
Almas Payment
Feb 2020 - Aug 2022 (2 years 6 months)
As a Portfolio Analyst at Almas Payment, I focused on quantitative analysis and modeling, utilizing tools such as Python and SQL to optimize portfolio performance.
CNRS
Mar 2019 - Sep 2019 (6 months)
During my internship at CNRS, I worked on stochastic model reduction, focusing on data visualization and processing techniques to enhance research outcomes.
Degrees, certifications, and relevant coursework
Doctorate in Quantitative Finance, Quantitative Finance
2022 - 2025
Thesis: Towards antifragility in financial markets: A fractal geometry and machine learning framework.
UPMaster in Applied Mathematics, Applied Mathematics
2017 - 2019
Thesis on a geometric model reduction technique for a stochastic system. Rigorous training in advanced mathematical methods, convex optimization and stochastic processes.
FranceYou can contact Shahrouz and 90k+ other talented remote workers on Himalayas.
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