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Shahrouz User

@shahrouzuser

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Quantitative researcher with expertise in financial modeling and analysis.

France

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What I'm looking for

I seek a role that fosters innovation in quantitative finance and offers growth opportunities.

I 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.

Experience

Work history, roles, and key accomplishments

Current

Instructor

Current

IS-DBA Business School

Oct 2022 - Present (2 years 7 months)

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.

Teaching Risk Modeling Python Business Analysis Data Visualization Quantitative Methods Communication Curriculum Development

Current

Quantitative Analyst

Current

Nexus Horizon

Jan 2024 - Present (1 year 4 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.

Quantitative Analysis Python SVM Financial Modeling Risk Management Data Visualization Machine Learning Statistical Modeling

Securities Manager

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.

Fractal Analysis Risk Management Financial Analysis Quantitative Research Data Analysis

Research Intern

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.

Research Data Visualization Python LaTeX Time Series Analysis Statistical Methods Data Processing Technical Writing Collaboration

Portfolio Analyst

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.

Python SQL Data Analysis Financial Modeling Risk Assessment Optimization Machine Learning Statistical Analysis

Education

Degrees, certifications, and relevant coursework

Institut Supérieur - Doctorate Of Business Administration

Doctorate in Quantitative Finance, Quantitative Finance

2022 - 2025

Thesis: Towards antifragility in financial markets: A fractal geometry and machine learning framework.

University of Paris-Saclay and École Polytechnique

Master 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.