ABÀ propos de Achaymaa
Lead Data Scientist with 10+ years in econometrics, statistical modeling, and machine learning applied to banking. At Société Générale, I lead stress‑testing and budgeting modeling, combining ML (LSTM/RNN, Random Forest) with econometrics (ARDL, VAR/VECM, SVAR, Markov‑switching) to forecast Net Banking Income (NBI) and activity volumes under baseline and adverse scenarios. Strong track record in model risk management, data quality, back‑testing, recalibration, and executive storytelling.
Français
Bilingue ou natif
Anglais
Bilingue ou natif
Arabe
Bilingue ou natif
En télétravail uniquement
Travaille majoritairement à distance
Expériences
- Société GénéraleLead Data ScientistBANQUE & ASSURANCESnovembre 2020 - Aujourd'hui (5 ans et 7 mois)Paris, France• Led a Bangalore‑based data science team (7 data scientists) to industrialize Group‑wide forecasting for stress‑testing and budgeting.• Delivered hybrid ML–econometric models to forecast Net Banking Income (NBI) and activity volumes; deployed for EBA stress tests, Group budgeting, and ad‑hoc analyses.• Ensured conformance with Model Risk Management standards: documentation, controls, performance monitoring, and systematic recalibration.• Implemented model back‑testing and stability checks; strengthened data quality controls and lineage.
- Bank Al‑Maghrib (Central Bank of Morocco)Data Analyst / Data Scientistmai 2016 - septembre 2019 (3 ans et 4 mois)Rabat, Morocco• Monitored and analyzed macro‑financial conditions; conducted nowcasting and forecasting of leading indicators.• Quantified distributional effects of monetary policy and impacts of exogenous shocks/downturns.• Contributed to policy recommendations on growth, inflation, and structural reforms.
- National Observatory of Human DevelopmentData Analyst / Data Scientistjuin 2014 - mai 2016 (1 an et 11 mois)Rabat, Morocco• Transformed survey and administrative data into strategic insights for public programs.• Evaluated health insurance coverage for low‑income populations (RAMED) and national initiatives.• Applied DiD, Synthetic Control, RDD, and panel methods to assess social and housing policies.
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Formations
- Master 2, Financial EconomicsUniversité Paris 1 Panthéon‑Sorbonne2020Master 2, Financial Economics
- Engineering DegreeNational Institute of Statistics & Applied Economics (INSEA)2013Engineering Degree