Product Manager with strong expertise in Python, data analysis, and financial software. Experienced in automating complex workflows, building MVPs leveraging AI, and delivering product evolutions adopted by tier-1 financial institutions. Dual background in finance and engineering.
•Led the AI initiative in Collateral Management, developing an MVP to automate the processing of 100+ daily client emails, saving several hours of manual work per day. •Designed and delivered 4 major product features, with 2 already adopted by global tier-1 banks and 2 in pipeline with strong client demand. •Defined solution roadmap through market trend analysis and client workshops; ensured alignment with trading, risk, and treasury requirements. •Provided quantitative support and technical expertise to clients and internal teams (troubleshooting, corrective maintenance, knowledge sharing).
•Applied the AVS methodology to reorganize support functions for a Big 4 firm (€250M revenues), identifying 17% potential cost reduction. •Conducted 30+ stakeholder interviews, mapped support processes, and isolated low ROI activities. •Processed and analyzed 2M+ data points (Python) to optimize claims management for a French utilities group (€1.7B revenues); delivered a new classification model, reducing inefficiencies and addressing root causes of recurring issues.
•Implemented predictive maintenance models on IoT sensor data, achieving 95% failure prediction accuracy. •Conducted on-site workshops and factory visits to integrate data pipelines into client production chains.
•Contributed to multi-asset portfolio analysis (equities, bonds, derivatives, structured products). •Automated investment reporting via VBA tools, reducing manual workload by 30%. •Supported sales teams on investment proposals; one trade generated a 10% return.