About Ismail
Ingénieur de formation et spécialisé en finance de marché (Master in Finance à l'ESSEC, Financial Engineering Track), j'aide entreprises, fonds et startups à transformer leurs données et leurs problématiques financières en décisions concrètes.
Pendant 16 mois, j'ai été stratégiste marchés émergents à la Société Générale CIB : modélisation de courbes de taux souverains (Nelson-Siegel-Svensson), automatisation de l'extraction de données de marché via l'API Bloomberg en Python, et construction de modèles de prévision macroéconomique pour orienter les vues taux et crédit. Auparavant, data scientist chez BCG X (BCG Gamma) et pilotage de cycles de prévision de la demande chez Procter & Gamble.
Ce que je mets à votre service :
Modélisation financière et valorisation
Analyse de données et modèles prédictifs (Python, machine learning)
Automatisation de l'extraction et du traitement de données (Bloomberg, API, SQL)
Dashboards, reporting et data visualisation
Mon profil croise une vraie rigueur quantitative (calcul stochastique, pricing d'options) et une expérience concrète en data science. Que vous ayez besoin d'un modèle financier solide, d'un pipeline de données automatisé ou d'analyses claires pour décider, parlons-en.
Arabic
Native or bilingual
French
Native or bilingual
English
Native or bilingual
Spanish
Basic
Can work on-site
Paris (up to 50km)
Experience
- Société Générale Corporate and Investment Banking (SGCIB)Emerging Markets StrategistMarch 2024 - August 2025 (1 year and 5 months)• • Modeled sovereign yield curves using the Nelson-Siegel-Svensson framework and automated market-data extraction via the Bloomberg API in Python.• • Built models to forecast key macro indicators (GDP, inflation) and assessed sovereign creditworthiness, fiscal and monetary policy and political risk to inform views on EM rates and credit.• • Co-authored research notes on macroeconomic and geopolitical developments and their impact on EM fixed income, working alongside senior strategists.• • Produced data-driven charts and analytics in Python and synthesized research to support client meetings and senior-led presentations.
- Procter & GambleSales ManagerMay 2023 - February 2024 (9 months)• • Drove double-digit revenue growth on a key product portfolio through data-driven sales planning and performance tracking against market-share targets.• • Built and ran the demand-forecasting cycle using predictive analytics to align inventory with market trends, cutting stockouts by 15%.
- BCG X (BCG Gamma)Visiting Data ScientistMay 2022 - October 2022 (5 months)• • Applied machine learning algorithms and statistical modeling to solve complex client challenges, providing data driven insights that informed strategic recommendations.• • Collaborated with cross-functional consulting teams to develop automated dashboards and reporting tools, enhancing data accessibility and visualization for client presentations.
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Education
- Candidate for Master in FinanceESSEC Business School2026Candidate for Master in Finance
- M. Eng in Industrial ManagementEMINES School Of Industrial Management (UM6P)2022M. Eng in Industrial Management