Mohamed BOUNOUAR - Strategic Leader in Finance, Policy & AI
Strategic leader combining technical expertise with policy insight. Trained at École Polytechnique and Harvard Kennedy School with proven experience in quantitative finance, industrial policy, and AI transformation.
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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
Manager, Business Steering & AI Initiatives
July 2023 - Present
  • 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