b
brahim_el_moude

brayen elmd

@brahim_el_moude

quantitative researcher

Marokko
Französisch
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
I am a financial market analyst specializing in institutional-style research and data-driven analysis. I focus on liquidity, market structure, and macro context rather than retail assumptions. Using Python and quantitative tools, I analyze FX, gold, indices, and crypto to deliver clear, structured, and reliable insights. My work is built on real data and disciplined methods to reflect true market behavior and support informed trading decisions, and by the way i use the name brayen because it's easy to spell.... Mehr lesen

Kompetenzen

b
brahim_el_moude
brayen elmd
offline • 
Durchschnittliche Antwortzeit: 1 Stunde

Meine Dienstleistungen

Online-Trading-Kurse
I will private trading mentor 1on1 video sessions
Online-Trading-Kurse
I will coach you on real institutional trading and market data

Portfolio

Arbeitserfahrung

JPMorgan_Chase & Co.

quantitative researcher intership

JPMorgan Chase & Co. • Vollzeit

Dec 2025 - Mar 20263 mos

I completed an internship as a Quantitative Researcher at JPMorgan, where I contributed to data-driven financial analysis and model development. I worked on analyzing market data, supporting the creation of quantitative frameworks, and assisting in research related to FX and macro assets. My focus was on applying statistical methods and Python-based tools to extract insights, evaluate risk, and improve analytical accuracy. This experience strengthened my understanding of institutional workflows, disciplined research processes, and the integration of quantitative methods into real market decision-making.

Societe_Generale

quantitative researcher

Societe Generale • Vollzeit

Mar 2024 - Nov 20248 mos

I worked as a Quantitative Researcher on projects related to Euro Exim Bank, focusing on developing data-driven models and institutional-grade market analysis. My role involved analyzing financial data across FX and macro assets, building quantitative frameworks using Python, and generating structured insights to support decision-making. I focused on liquidity, market structure, and risk assessment to align analysis with real market conditions. This experience strengthened my ability to deliver precise, professional research and translate complex data into actionable financial insights.