À propos de Ismail
🇬🇧 English:
Stop running your fund on broken Excel sheets.
I help asset managers, family offices, and private equity funds translate raw financial data into automated, institutional-grade analytics.
I bridge the gap between finance and tech: I understand your math (CFA/FRM) and write production-level code (dbt/SQL).
What I do for your Ops & Risk teams:
•Data Modeling (dbt/SQL): Transform raw custodian and ERP data into clean tables to accurately calculate NAV, P&L, tracking error, and Risk metrics.
•Middle-Office Automation: Replace manual workflows with scalable Python pipelines.
•BI & Reporting: Build live Tableau dashboards for real-time portfolio monitoring.
•Quant Analytics: Time-series forecasting and predictive modeling (Python, scikit-learn).
Background: CFA & FRM | MSc Data Sciences (ESSEC & CentraleSupélec) | 8+ yrs exp (Emma, Criteo).
👉 Send me a message to schedule a quick chat about modernizing your financial data stack.
🇫🇷 Français :
Ne gérez plus votre fonds sur des fichiers Excel fragiles.
J'aide les sociétés de gestion, family offices et fonds PE à transformer leurs données brutes en analyses automatisées et fiables. Je fais le pont entre finance et tech : je maîtrise vos calculs (CFA/FRM) et produis du code robuste (dbt/SQL).
Ce que je fais pour vos équipes Ops & Risque :
•Modélisation Financière (dbt/SQL) : Transformation des données brutes en tables structurées pour calculer VNI, P&L et indicateurs de risque avec précision.
•Automatisation Middle-Office : Remplacement des tâches manuelles par des pipelines Python.
•BI & Reporting : Dashboards Tableau en temps réel pour le suivi des portefeuilles.
•Analyses Quantitatives : Séries temporelles et modélisation prédictive (Python, scikit-learn).
Parcours : CFA & FRM | MSc Data Sciences (ESSEC & CentraleSupélec) | 8+ ans d'exp (Emma, Criteo).
👉 Envoyez-moi un message pour discuter de la modernisation de votre architecture de données.
Anglais
Bilingue ou natif
Arabe
Bilingue ou natif
Français
Capacité professionnelle limitée
Accepte de travailler sur site
Paris (jusqu’à 50 km)
Expériences
- The Sleep Company (Emma-Sleep GmbH),Senior Finance Intelligence Manager – Quantitative Analytics & Data Engineeringjanvier 2024 - Aujourd'hui (2 ans et 5 mois)Paris, France- Built the finance analytics infrastructure from scratch — dbt-based data pipelines, ERP integrations (Business Central / Amazon Redshift), and automated reporting systems enabling real-time financial visibility across international markets.- Developed statistical models and time-series forecasting frameworks for revenue, cost, and margin analysis across multiple geographies — applying ARIMA, regression, and scenario simulation techniques to large-scale financial datasets.- Designed Tableau dashboards and Python-based reporting layers tracking KPIs, variance drivers, and performance metrics for senior Finance and Operations leadership.- Built and owned return and warranty provisions estimation models; collaborated directly with external auditors to validate method ology and data integrity.- Partnered cross-functionally with Engineering, Finance Leadership, and Operations to translate business requirements into quanti tative solutions and actionable recommendations.- Mentored new joiners on Python, SQL, statistical modeling, and data engineering best practices.
- ESSEC Business School,External Lecturer – Statistics, Forecasting & Pythonjanvier 2025 - Aujourd'hui (1 an et 5 mois)Paris, France- Teach Statistical Inference, Time-Series Forecasting, and Python programming at MSc and BBA level — strong pedagogy and ability to communicate complex quantitative concepts clearly.- Design applied case studies on predictive modeling, hypothesis testing, and data-driven decision-making.
- Banque Libano-Française,Senior Investment Advisor & Equity Research Analystjanvier 2016 - août 2020 (4 ans et 7 mois)Beirut, Lebanon- Conducted fundamental equity research across US and European markets — DCF, comparable company multiples, scenario analysis — producing structured investment memos and recommendations for institutional clients.- Executed equity, fixed income, derivatives, and commodity futures orders (oil, gold, silver) — deep understanding of capital markets dynamics and institutional investor behavior.- Authored the annual publication "Where to Invest" — synthesizing cross-asset quantitative research and macro analysis into actionable investment insights.- Managed institutional and private client relationships — understanding investment mandates, risk profiles, and portfolio requirements.
Recommandations
MA
AS
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Formations
- MSc in Data Sciences and Business AnalyticsESSEC Business School & CentraleSupélec2023Statistical Inference, Machine Learning, Deep Learning, Time-Series Analysis, Econometrics, Optimization, Data Visualization, Business Intelligence, FinTech
- BS In FinanceAmerican University of Science and Technology2014Corporate Finance, Fixed Income, Derivatives, Risk Management, Portfolio Management, Financial Statement Analysis
Certifications
- Chartered Financial Analyst - CFACFA Institute2019
- Financial Risk Manager - FRMGlobal Association of Risk Professionals2017