Freelancer profile translated to English.
Back to original languageAbout 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.
English
Native or bilingual
Arabic
Native or bilingual
French
Conversational
Can work on-site
Paris (up to 50km)
Experience
- The Sleep Company (Emma-Sleep GmbH),Senior Finance Intelligence Manager – Quantitative Analytics & Data EngineeringJanuary 2024 - Today (2 years and 5 months)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 & PythonJanuary 2025 - Today (1 year and 5 months)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 AnalystJanuary 2016 - August 2020 (4 years and 7 months)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.
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Education
- 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