Ahmed ZAARI JABIRI, CFA

Covering European credit strategies (IG, HY, hybrids, green bonds), acting as the interface between portfolio management, sales, and institutional investors, with a strong focus on scalability and automation. • Led end-to-end RFP and mandate processes across multiple credit segments (EUR IG, High Yield, hybrids, sustainable credit), including strategy positioning, track-record selection, and coordination with portfolio managers for beauty contests and final rounds. • Produced and owned investment and marketing materials (pitchbooks, strategy decks, client presentations), advising sales teams on product positioning and accompanying them in key client meetings when required. • Delivered ongoing market intelligence and competitive analysis, monitoring peer strategies, market dynamics, and performance drivers to support client discussions and mandate defense during volatile market conditions. • Acted as a front-line investment partner to portfolio managers during market events, translating portfolio decisions, performance attribution, and risk positioning into clear, client-ready narratives. • Pioneered AI-driven automation initiatives: led a task force (including mentoring a junior analyst) to automate pitchbook generation, standardize RFP responses, and streamline recurring reporting workflows. • Built and deployed an internal AI-powered knowledge base aggregating prospectuses, RFP archives, and investment documentation, enabling faster information retrieval, consistency of messaging, and partial automation of performance and attribution commentaries.

Contributing to strategic front-to-back initiatives on Amundi’s proprietary Portfolio Management System (Alto), with a strong focus on Fixed Income, valuation, and quantitative tooling. • Involved in strategic Alto deployment projects for both Amundi’s internal investment teams and external clients, acting as a front-office interface on Fixed Income workflows across portfolio management, pricing, and risk. • Played a lead front-office role in the redesign of Money Market Funds pricing policies, aligned with industry best practices (AFG guidelines), coordinating portfolio management, risk teams, and technology. • Contributed to the integration of daily valuation models leveraging market data inputs (e.g. Bloomberg contributions) and statistical methodologies to estimate issuer credit spreads for MMF valuation, ensuring robustness, consistency, and operational usability. • Worked closely with risk teams to translate quantitative and statistical models into production tools, performing functional validation, testing, feedback loops, and fine-tuning from a front-office perspective. • Participated in the development of ALM and liability-driven investment modules within Alto: cash-flow forecasting, asset-liability matching, portfolio immunization, sensitivity and convexity analysis by maturity buckets, and stress-testing frameworks. • Built deep expertise in Fixed Income pricing, valuation mechanics, and portfolio analytics, positioning this role as a natural stepping stone toward broader investment, product, and strategy responsibilities within Fixed Income.

Delivered front-to-back IT and business consulting services for leading financial institutions across sell-side and buy-side, with a strong focus on derivatives, Fixed Income, and portfolio management systems. • Contributed to a long-term strategic engagement within a major investment bank, supporting a front-to-back platform for complex derivatives products, covering trade booking, valuation, lifecycle events, margining, collateral, cash settlement, and reporting. • Acted as front-office business analyst and production support, working closely with traders, sales, middle office, valuation teams, and operations, gaining direct exposure to trading floor workflows and real-time market constraints. • Developed a strong understanding of complex structured products and basket-based instruments, including their dynamic valuation, contract lifecycle, and counterparty interactions. • Participated in PMS and OMS implementation projects on leading industry platforms (e.g. SimCorp Dimension), supporting system migration, OTC product integration, booking models, valuation workflows, and downstream data flows. • Delivered short, high-impact consulting assignments for asset managers, contributing to system optimization, Fixed Income workflows, and operational robustness across multiple client environments. • Worked on interest rate and cross-currency instruments in international contexts, addressing market conventions, currency constraints, and valuation specificities. • Built a strong cross-market perspective (sell-side and buy-side), developing adaptability, problem-solving skills, and a holistic understanding of capital markets infrastructure. • Actively involved in knowledge sharing and mentoring, benefiting from senior coaching while progressively supporting junior consultants through functional training and project guidance.

• Co-invented a patented multi-sensor data fusion algorithm for aerospace systems (Airbus) • Designed probabilistic models to estimate measurement accuracy, integrity and confidence intervals in real time • Developed statistical anomaly and sensor-failure detection mechanisms for safety-critical environments • Built on Bayesian inference and stochastic processes, now widely used in modern AI-driven sensor fusion systems

Early exposure to ML techniques, before deep learning became mainstream. • Research internship at IRIT (INP-ENSEEIHT) in collaboration with CNES, focused on dictionary learning and sparse representations for remote-sensing image analysis • Applied Bayesian methods (MCMC), NMF and K-SVD for image denoising and feature extraction • Worked on unsupervised learning techniques and statistical signal processing, foundations of modern machine learning and AI systems • Evaluated performance using PSNR, SNR and computational efficiency trade-offs

• Strong foundation in applied mathematics, probability theory, statistics, and optimization • Signal and image processing, pattern recognition, feature extraction, and numerical analysis • Algorithmic modeling of complex systems, stochastic processes, and data-driven inference • Applied coursework and projects in computer vision, classification, estimation, and signal modeling • Extensive use of MATLAB and algorithmic prototyping for real-world engineering problems