Oumaima Hessane

Statistical engineer (ENSAI, France) with 6+ years of experience in statistical modelling, survival analysis, Bayesian estimation, and applied machine learning. Proven ability to design rigorous analytical frameworks, own complex modelling projects end-to-end, and communicate statistical results to senior stakeholders. Experienced in leading quantitative teams and mentoring junior scientists.

Motivated to transfer this expertise to high-impact problems in precision medicine and AI-driven drug development.

Head of Analytics at Crédit du Maroc (2025-10 – Present)

• Lead a team of 4 data scientists; conceived 4 quantitative models end-to-end, 2 currently in production; mentor junior scientists on methodology and technical growth
• Conceived and supervised a Markov-chain transition matrix framework for default probability estimation — designed validation strategy and sensitivity analysis
• Conceived and supervised a combined time-series and Monte Carlo approach for scenario modelling; presented methodology and results to senior executives and validation committees
• Designed a volatility adjustment approach integrating domain constraints; translated dense statistical output into clear, decision-ready conclusions for non-technical stakeholders
• Supervised development of scoring and segmentation models; accountable for robustness and explainability of all delivered solutions

Quantitative Senior Model Risk Auditor at Société Générale (2022-08 – 2025-09)

• Performed independent validation and critical review of quantitative models; assessed theoretical foundations, distributional assumptions, and robustness of results
• Used Monte Carlo simulations and AR/ARMA models to challenge model assumptions and benchmark performance
• Formulated methodological recommendations and tracked remediation in regulatory contexts

Quantitative Inspector at La Banque Postale (2021-01 – 2022-07)

• Developed an end-to-end automated document processing solution combining OCR, image processing, Levenshtein and Euclidean distances, and optimisation — replacing a fully manual workflow
• Industrialized and automated data processing and quality control workflows
• Independent audit of liability management and sight deposit models

Quantitative Risk Analyst — ALM at Groupe BPCE (2020-04 – 2020-11)

• Applied survival analysis to real-world behavioural modelling problems; benchmarked against ML alternatives
• Backtesting, model performance visualization, and recalibration on updated data

Diplôme d'Ingénieur in Statistics & Data Science – ENSAI (2016 – 2020)

Classes Préparatoires MPSI / MP in Mathematics and Physics (2014 – 2016)