Armelle Jezequel, Associate Portfolio Research • AI/ML Scientist
Professional Overview
Armelle Jezequel is a versatile data science and research professional with a strong background in artificial intelligence and machine learning. She currently serves as an Associate Portfolio Research • AI/ML Scientist at TD, where she leverages her technical expertise to drive innovation and deliver impactful data-driven solutions.
Experience Summary
Current Role
As an Associate Portfolio Research • AI/ML Scientist at TD, Armelle is responsible for conducting advanced portfolio research and analysis using cutting-edge AI and ML techniques. She collaborates with cross-functional teams to develop and implement innovative strategies that enhance the firm's investment decisions and portfolio management capabilities. Armelle's work has contributed to significant improvements in the organization's risk management and performance optimization.
Career Progression
Prior to her current role, Armelle held several data science and research positions, including Scientifique des données at Synapse C, Chargée de travaux dirigés - Structures discrètes at Polytechnique Montréal, and Consultante - developpeuse backend at N7 Consulting. Throughout her career, she has demonstrated a strong aptitude for problem-solving, data analysis, and the application of AI/ML principles to solve complex business challenges.
Academic Background
Armelle holds a master's degree in Computer Science, with a specialization in Artificial Intelligence and Machine Learning. Her academic achievements include publications in peer-reviewed journals and presentations at industry conferences, showcasing her commitment to continuous learning and her ability to translate research into practical solutions.
Areas of Expertise
- Artificial Intelligence and Machine Learning
- Portfolio Research and Analysis
- Data Modeling and Predictive Analytics
- Risk Management and Performance Optimization
- Cross-functional Collaboration and Project Management
Professional Impact
Armelle's contributions have had a significant impact on the organizations she has worked with. In her previous roles, she developed and implemented AI/ML-powered models that enhanced investment strategies, improved risk management, and optimized portfolio performance. Her work has been recognized for its innovation and positive business outcomes.
Conclusion
Armelle Jezequel is an accomplished data science and research professional with a proven track record of leveraging AI and ML to drive business success. Her technical expertise, combined with her strong analytical and problem-solving skills, make her a valuable asset in the financial services industry. Armelle's commitment to continuous learning and her ability to translate research into practical solutions position her as a key contributor to the future of portfolio management and investment optimization.
