Mohamed BOUNOUAR - Head of AI Transformation, OCP-SPS

Strategic leader with a robust academic background from École Polytechnique and Harvard Kennedy School. Currently spearheading the AI Transformation Program at OCP - SPS, driving large-scale AI initiatives across manufacturing and specialty products. Proven expertise in quantitative finance and industrial policy, now focused on leading AI-driven innovation.

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Education
1
Harvard Kennedy School (2025)

Executive Program in Leading Green Growth: Economic Strategies for a Low-Carbon World. Delivered case study on Morocco's green industrial diversification.

2
École Polytechnique (2018-2019)

Master's in Probabilities and Finance. Thesis: Modeled illiquidity shocks in sovereign bond markets using Hawkes processes.

3
École Polytechnique (2015-2018)

Engineering Degree - Polytechnicien Program. Thesis: Designed back-to-back hedging framework using clustering and decision tree methods.

OCP Group Experience
Head, AI Transformation Program

October 2025 - Present

  • Leads the AI transformation agenda within the Specialty Products & Solutions and Manufacturing SBUs
  • Builds concrete model for AI deployment that converts strategic ambitions into measurable impact across production, R&D, and commercial operations
  • Orchestrates cross-functional teams and partnerships (e.g., Harvard researchers, business teams) to establish the Group's first comprehensive AI transformation framework
Various roles (Manager, Business Steering & AI Initiatives)

July 2023 - October 2025

  • Led three AI-driven proof-of-concept projects within OCP's internal AI Factory
  • Collaborated with MIT Sloan researchers on advanced forecasting models
  • Founded DiplomatEdge, a strategic corporate diplomacy initiative
UM6P Research Experience
Economic Complexity Research

Collaborated with Harvard Growth Lab researchers to adapt economic complexity tools to the Moroccan industrial context. Provided policy insights for Morocco's national diversification strategy.

Climate Modeling

Modeled drought clustering dynamics across Morocco and Mediterranean countries using Hawkes processes, benchmarked against machine learning and econometric baselines.

Advisory Contributions

Contributed to regional studies on commodity auction design and agricultural investment opportunities in Africa. Designed intelligent expert search tools.

Financial Industry Experience
Citigroup - Quantitative Trader (2019-2021)

Managed algorithmic trading for government bonds, executed hedging strategies, and led coordination with quants to develop real-time pricing tools. Designed trading strategies for emerging market bonds using auction-cycle dynamics.

Deutsche Bank - CIB Strats Intern (2018)

Designed back-to-back hedging strategies using combinatorial optimization. Conducted risk analysis with PCA and machine learning. Enhanced analytics library with Python-based functions.

International Policy Experience
COP28 Delegate - Moroccan Delegation

Participated in international negotiations focused on green growth and sustainable development policy.

Received training on global environmental governance, COP frameworks, and negotiation mechanics.

Technical Skills
Programming

Python (NumPy, Pandas, Scikit-learn, Tick, Pytorch), R, SQL, Git

Analytics

Machine Learning, Agent-Based Modeling, Optimization, Time Series Analysis, Hawkes Processes

Languages

French, Arabic (bilingual); English (fluent)

Awards & Affiliations
Excellence Scholarship, École Polytechnique

Awarded for ranking among the top 10 in the national entrance examination

Member, Laboratory of Industrial Economics and Emerging Africa (EIEA), UM6P
Member, Financial Excellence Cluster, UM6P
Community Service Certificate

Mentored students for International Mathematical Olympiad